Bài tập về nhà
Thanh Hòa
2023-06-14
1 Bài tập về nhà tuần 1:
1.1 Bộ số liệu
Dữ liệu được thu thập về thông tin giá cả thuê nhà . Tập dữ liệu chứa 545 hàng gồm 12 biến
##Giải thích ý nghĩa biến: Price: Giá của ngôi nhà. Area: Tổng diện tích của ngôi nhà tính bằng mét vuông. Bedrooms: Số phòng ngủ trong nhà. Bathrooms: Số lượng phòng tắm trong nhà. Mainroad: Ngôi nhà có kết nối với đường chính hay không (yes/no). Guestroom: Nhà có phòng cho khách không (Có/Không). Basement: Nhà có tầng hầm hay không (Có/Không). Hot water heating: Nhà có hệ thống đun nước nóng hay không (yes/no). Airconditioning: Nhà có hệ thống điều hòa nhiệt độ hay không (yes/no). Parking: Số lượng chỗ đậu xe có sẵn trong nhà. Prefarea: Ngôi nhà có nằm trong khu vực ưa thích hay không (Có/Không). Furnishing status: Tình trạng nội thất của căn nhà (Fully Furnished, Semi-Furnished, Unfurnished).
library(readxl)## Warning: package 'readxl' was built under R version 4.3.1house <- read_xlsx("D:house.xlsx")
View(house)2 Bài tập về nhà tuần 2
Yêu cầu: Chọn 1 hoặc 2 biến định tính và 1 biến định lượng làm biến phụ thuộc để phân tích, giải thích lý do.
2.1 Biến định tính
Mainroad: Ngôi nhà có kết nối với đường chính hay không (yes/no). Guestroom: Nhà có phòng cho khách không (yes/no). Basement: Nhà có tầng hầm hay không (yes/no). Hot water heating: Nhà có hệ thống đun nước nóng hay không (yes/no). Airconditioning: Nhà có hệ thống điều hòa nhiệt độ hay không (yes/no). Prefarea: Ngôi nhà có nằm trong khu vực ưa thích hay không (yes/no). Furnishing status: Tình trạng nội thất của căn nhà (Fully Furnished, Semi-Furnished, Unfurnished).
2.2 Biến định lượng
Price: Giá của ngôi nhà. Area: Tổng diện tích của ngôi nhà tính bằng mét vuông. Bedrooms: Số phòng ngủ trong nhà. Bathrooms: Số lượng phòng tắm trong nhà. Parking: Số lượng chỗ đậu xe có sẵn trong nhà.
2.3 Chọn biến định lượng
Chọn biến Area: Tổng diện tích của ngôi nhà tính bằng mét vuông làm biến định lượng
2.4 Chọn biến định tính
Chọn biến price làm biến định tính mặc dù bản chất là biến định lượng. Ta mã hóa dữ liệu định lượng sang định tính. Vì biến price phụ thuộc vào các yếu tố còn lại để quyết định đến giá của căn nhà.
3 Bài tập về nhà tuần 3 - 4
Đề: Làm thống kê mô tả để phân tích cho ít nhất 5 biến (vừa định tính định lượng và có 2
biến đã chọn ở câu 2), nhận xét về kết quả phân tích này.
3.0.1 Thống kê mô tả các biến
- Biến Area
summary(house$area)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1650 3600 4600 5151 6360 16200Dựa vào kết quả thống kê mô tả, ta thấy diện tích căn nhà tính trên mét vuông khoảng từ [1650;16200]. Trung bình (mean) là 5151 mét vuông, 1st Qu. (first quartile) = 3600 có nghĩa là 25% đối tượng nghiên cứu có diện tích căn nhà là 3600 mét vuông. Tương tự, 3rd Qu.(Third quartile) = 6360 có nghĩa là 75% đối tượng nghiên cứu có diện tích căn nhà là 6360 mét vuông. Số trung vị (median) cũng có nghĩa là 50% đối tượng đối tượng nghiên cứu có diện tích căn nhà là 4600 mét vuông.
Bảng tần suất của biến area
library(ggplot2)## Warning: package 'ggplot2' was built under R version 4.3.1table(cut(house$area,4))##
## (1.64e+03,5.29e+03] (5.29e+03,8.92e+03] (8.92e+03,1.26e+04] (1.26e+04,1.62e+04]
## 318 197 24 6Bảng tần suất của biến area theo tỷ lệ %
table(cut(house$area,4))/sum(table(house$area))##
## (1.64e+03,5.29e+03] (5.29e+03,8.92e+03] (8.92e+03,1.26e+04] (1.26e+04,1.62e+04]
## 0.58348624 0.36146789 0.04403670 0.01100917Đồ thị cột của biến area
house|> ggplot(aes(area)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'lightgreen')## Warning: The dot-dot notation (`..count..`) was deprecated in ggplot2 3.4.0.
## ℹ Please use `after_stat(count)` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_lifecycle_warnings()` to see where this warning was
## generated.
- Biến Price
summary(house$price)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1750000 3430000 4340000 4766729 5740000 13300000Dựa vào kết quả thống kê mô tả, ta thấy số lượng căn nhà có giá tiền nằm trong đoạn [1750000;13300000]. Trung bình (mean) là 4766729 . 1st Qu. (first quartile) = 3430000 có nghĩa là 25% số người có sở hữu căn nhà với giá tiền là 3430000. Tương tự, 3rd Qu.(Third quartile) = 5740000 có nghĩa là 75% số người có sở hữu căn nhà với giá tiền là 5740000. Số trung vị (median) cũng có nghĩa là 50% số người có sở hữu căn nhà với giá tiền là 4340000.
Bảng tần suất
table(cut(house$price,4))##
## (1.74e+06,4.64e+06] (4.64e+06,7.52e+06] (7.52e+06,1.04e+07] (1.04e+07,1.33e+07]
## 312 187 40 6Bảng tần suất của biến price theo tỷ lệ %
table(cut(house$price,4))/sum(table(house$price))##
## (1.74e+06,4.64e+06] (4.64e+06,7.52e+06] (7.52e+06,1.04e+07] (1.04e+07,1.33e+07]
## 0.57247706 0.34311927 0.07339450 0.01100917Đồ thị cột của biến price
house |> ggplot(aes(price)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'lightgreen')
- Biến mainroad
table(house$mainroad)##
## no yes
## 77 468Dựa vào kết quả thống kê mô tả, ta thấy có 77 căn nhà là không có kết nối với đường chính và 468 căn nhà có kết nối đường chính
Bảng tần suất của biến mainroad theo tỷ lệ %
table(house$mainroad)/sum(table(house$mainroad))##
## no yes
## 0.1412844 0.8587156Dựa vào kết quả thống kê mô tả, ta thấy có 14.13% căn nhà là không có kết nối với đường chính và 85.87% căn nhà có kết nối đường chính
Đồ thị cột của biến
house |> ggplot(aes(mainroad)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'lightgreen')
- Biến Hot water heating
table(house$hotwaterheating)##
## no yes
## 520 25Dựa vào kết quả thống kê mô tả, ta thấy số lượng căn nhà có máy nước nóng là 25 căn và số lượng căn nhà không có máy nước nóng là 520 căn
Bảng tần suất
table(house$hotwaterheating)/sum(table(house$hotwaterheating))##
## no yes
## 0.95412844 0.04587156Dựa vào kết quả thống kê mô tả, ta thấy tỷ lệ căn nhà có máy nước nóng là 4.59% và tỷ lệ căn nhà không có máy nước nóng là 95.41%
Bảng tần suất với tỷ lệ %
Đồ thị cột
house |> ggplot(aes(hotwaterheating)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'lightgreen')
- Biến bedrooms
Bảng tần suất
summary(house$bedrooms)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 2.000 3.000 2.965 3.000 6.000Dựa vào kết quả thống kê mô tả, ta thấy số lượng căn nhà có số phòng ngủ nằm trong đoạn [1;6]. Trung bình (mean) là 3 phòng . 1st Qu. (first quartile) = 2 có nghĩa 25% số lượng căn nhà có số phòng ngủ là 2 phòng. Tương tự, 3rd Qu.(Third quartile) = 3 có nghĩa 75% số lượng căn nhà có số phòng ngủ là 3 phòng. Số trung vị (median) cũng có nghĩa 50% số lượng căn nhà có số phòng ngủ là 3 phòng.
Bảng tần suất theo tỷ lệ %
table(cut(house$bedrooms,4))/sum(table(house$bedrooms))##
## (0.995,2.25] (2.25,3.5] (3.5,4.75] (4.75,6]
## 0.25321101 0.55045872 0.17431193 0.02201835Đồ thị cột
house |> ggplot(aes(bedrooms)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'lightgreen')
- Biến bathrooms
Bảng tần suất
summary(house$bathrooms)## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 1.000 1.000 1.000 1.286 2.000 4.000Dựa vào kết quả thống kê mô tả, ta thấy số lượng căn nhà có số phòng tắm nằm trong đoạn [1;4]. Trung bình (mean) là 1.268 phòng . 1st Qu. (first quartile) = 1 có nghĩa 25% số lượng căn nhà có số phòng tắm là 1 phòng. Tương tự, 3rd Qu.(Third quartile) = 2 có nghĩa 75% số lượng căn nhà có số phòng tắm là 2 phòng. Số trung vị (median) cũng có nghĩa 50% số lượng căn nhà có số phòng tắm là 1 phòng.
Bảng tần suất theo tỷ lệ %
table(cut(house$bathrooms,4))/sum(table(house$bathrooms))##
## (0.997,1.75] (1.75,2.5] (2.5,3.25] (3.25,4]
## 0.735779817 0.244036697 0.018348624 0.001834862Đồ thị của biến
house |> ggplot(aes(bathrooms)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'lightgreen')
## Thống kê mô tả 2 biến
3.0.2 Biến Price và biến Area
a <- table(house$price,house$area)
a##
## 1650 1700 1836 1905 1950 2000 2015 2135 2145 2160 2175 2176 2275
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## 13300000 0 0 0 0 0 0 0 0 0 0 04 BTVN Tuần 3 -4
Yêu cầu: Phân tích thống kê mô tả của 2 biến phụ thuộc ở câu 2 với 5 biến còn lại trong câu 3, nhận xét về kết quả phân tích này
4.1 Thống kê mô tả 2 biến
4.1.1 Biến Price và biến Area
house1<-cut(house$price, breaks = c(1740000,4766729,13400000), labels = c("Thấp", "Cao"))
head(house1)## [1] Cao Cao Cao Cao Cao Cao
## Levels: Thấp Cao- Bảng tần số, tần suất
a <- table(house$area, house1)
a## house1
## Thấp Cao
## 1650 1 0
## 1700 1 0
## 1836 1 0
## 1905 1 0
## 1950 2 0
## 2000 1 0
## 2015 1 0
## 2135 1 0
## 2145 6 0
## 2160 1 0
## 2175 1 0
## 2176 1 0
## 2275 1 0
## 2325 1 0
## 2398 1 0
## 2400 2 0
## 2430 1 0
## 2475 1 0
## 2500 1 0
## 2520 1 0
## 2550 1 0
## 2610 2 0
## 2640 1 0
## 2650 1 0
## 2684 1 0
## 2700 2 0
## 2747 1 0
## 2787 2 0
## 2800 1 1
## 2817 0 1
## 2835 1 0
## 2850 1 0
## 2856 1 0
## 2870 1 0
## 2880 2 0
## 2910 2 0
## 2953 1 0
## 2970 0 1
## 2990 1 0
## 3000 11 3
## 3036 1 0
## 3040 1 0
## 3060 1 0
## 3069 1 0
## 3090 2 0
## 3100 1 0
## 3120 3 0
## 3150 3 1
## 3162 1 0
## 3180 6 1
## 3185 3 0
## 3210 1 0
## 3240 2 1
## 3264 1 0
## 3290 1 0
## 3300 1 1
## 3350 1 0
## 3360 1 0
## 3400 1 0
## 3410 0 1
## 3420 2 2
## 3450 5 0
## 3460 2 0
## 3480 5 0
## 3500 5 1
## 3510 2 0
## 3512 1 0
## 3520 5 0
## 3540 0 1
## 3570 1 0
## 3584 1 0
## 3600 8 0
## 3620 1 0
## 3630 7 0
## 3635 1 0
## 3640 7 0
## 3649 1 0
## 3650 1 1
## 3660 1 0
## 3680 1 0
## 3700 0 1
## 3720 1 0
## 3745 1 0
## 3750 3 0
## 3760 1 1
## 3780 1 0
## 3792 1 0
## 3800 1 1
## 3816 1 0
## 3840 1 0
## 3850 5 0
## 3880 1 0
## 3900 1 0
## 3930 1 0
## 3934 1 0
## 3960 2 1
## 3968 1 0
## 3970 2 0
## 3986 1 0
## 3990 1 0
## 4000 9 2
## 4032 1 0
## 4040 6 1
## 4046 1 0
## 4050 2 0
## 4075 1 0
## 4079 1 0
## 4080 2 0
## 4095 1 1
## 4100 2 1
## 4120 1 1
## 4130 1 0
## 4160 1 1
## 4200 0 1
## 4240 1 0
## 4260 0 2
## 4280 1 0
## 4300 0 2
## 4320 3 1
## 4340 1 0
## 4350 1 1
## 4352 1 0
## 4360 1 0
## 4370 1 0
## 4400 3 1
## 4410 1 1
## 4500 11 2
## 4510 2 0
## 4520 0 1
## 4560 0 1
## 4600 3 2
## 4632 1 0
## 4640 0 1
## 4646 0 1
## 4700 0 1
## 4750 1 0
## 4770 0 1
## 4775 1 0
## 4785 1 0
## 4800 0 5
## 4815 0 1
## 4820 1 0
## 4840 2 0
## 4880 1 1
## 4900 2 0
## 4920 1 0
## 4950 1 0
## 4960 3 0
## 4990 1 0
## 4992 1 0
## 4995 0 1
## 5000 0 3
## 5010 1 0
## 5020 0 1
## 5040 1 0
## 5076 1 0
## 5136 0 1
## 5150 0 1
## 5170 1 0
## 5200 1 1
## 5300 2 1
## 5320 2 0
## 5360 1 0
## 5400 3 3
## 5450 1 1
## 5495 1 0
## 5500 2 7
## 5600 1 0
## 5640 1 0
## 5680 1 0
## 5700 0 1
## 5720 0 1
## 5750 0 1
## 5800 1 2
## 5828 0 1
## 5830 1 0
## 5850 2 0
## 5880 2 0
## 5885 1 0
## 5900 2 0
## 5948 0 1
## 5960 1 1
## 5985 1 0
## 6000 2 22
## 6020 1 0
## 6040 0 1
## 6050 0 1
## 6060 2 0
## 6100 0 3
## 6210 0 1
## 6240 0 1
## 6254 0 1
## 6300 0 1
## 6321 1 0
## 6325 0 1
## 6350 0 1
## 6360 3 4
## 6400 0 1
## 6420 0 4
## 6440 1 0
## 6450 1 1
## 6480 1 1
## 6500 0 2
## 6525 0 1
## 6540 0 3
## 6550 0 2
## 6600 0 9
## 6615 1 1
## 6650 1 0
## 6660 0 1
## 6670 0 1
## 6710 0 1
## 6720 0 1
## 6750 1 1
## 6800 1 1
## 6825 0 1
## 6840 0 1
## 6862 0 1
## 6900 0 2
## 6930 1 0
## 7000 1 4
## 7020 0 1
## 7085 0 1
## 7152 1 0
## 7155 0 1
## 7160 0 1
## 7200 0 2
## 7231 0 1
## 7260 1 0
## 7320 0 1
## 7350 1 0
## 7410 0 1
## 7420 0 2
## 7424 1 0
## 7440 0 2
## 7475 0 1
## 7482 0 1
## 7500 0 2
## 7600 0 1
## 7680 0 1
## 7686 0 1
## 7700 1 1
## 7770 1 0
## 7800 0 2
## 7950 0 1
## 7980 0 2
## 8000 0 1
## 8050 1 1
## 8080 1 0
## 8100 1 2
## 8150 0 1
## 8250 3 1
## 8372 0 1
## 8400 2 1
## 8500 0 1
## 8520 0 1
## 8580 0 2
## 8800 0 1
## 8875 0 1
## 8880 0 2
## 8960 0 1
## 9000 1 3
## 9166 1 0
## 9500 1 0
## 9620 0 1
## 9667 1 0
## 9800 0 1
## 9860 1 0
## 9960 0 1
## 10240 1 0
## 10269 0 1
## 10360 1 0
## 10500 0 3
## 10700 0 1
## 11175 0 1
## 11410 0 1
## 11440 0 1
## 11460 0 1
## 12090 0 1
## 12900 0 1
## 12944 1 0
## 13200 0 2
## 15600 0 1
## 16200 0 1aa <- prop.table(a)
addmargins(aa)## house1
## Thấp Cao Sum
## 1650 0.001834862 0.000000000 0.001834862
## 1700 0.001834862 0.000000000 0.001834862
## 1836 0.001834862 0.000000000 0.001834862
## 1905 0.001834862 0.000000000 0.001834862
## 1950 0.003669725 0.000000000 0.003669725
## 2000 0.001834862 0.000000000 0.001834862
## 2015 0.001834862 0.000000000 0.001834862
## 2135 0.001834862 0.000000000 0.001834862
## 2145 0.011009174 0.000000000 0.011009174
## 2160 0.001834862 0.000000000 0.001834862
## 2175 0.001834862 0.000000000 0.001834862
## 2176 0.001834862 0.000000000 0.001834862
## 2275 0.001834862 0.000000000 0.001834862
## 2325 0.001834862 0.000000000 0.001834862
## 2398 0.001834862 0.000000000 0.001834862
## 2400 0.003669725 0.000000000 0.003669725
## 2430 0.001834862 0.000000000 0.001834862
## 2475 0.001834862 0.000000000 0.001834862
## 2500 0.001834862 0.000000000 0.001834862
## 2520 0.001834862 0.000000000 0.001834862
## 2550 0.001834862 0.000000000 0.001834862
## 2610 0.003669725 0.000000000 0.003669725
## 2640 0.001834862 0.000000000 0.001834862
## 2650 0.001834862 0.000000000 0.001834862
## 2684 0.001834862 0.000000000 0.001834862
## 2700 0.003669725 0.000000000 0.003669725
## 2747 0.001834862 0.000000000 0.001834862
## 2787 0.003669725 0.000000000 0.003669725
## 2800 0.001834862 0.001834862 0.003669725
## 2817 0.000000000 0.001834862 0.001834862
## 2835 0.001834862 0.000000000 0.001834862
## 2850 0.001834862 0.000000000 0.001834862
## 2856 0.001834862 0.000000000 0.001834862
## 2870 0.001834862 0.000000000 0.001834862
## 2880 0.003669725 0.000000000 0.003669725
## 2910 0.003669725 0.000000000 0.003669725
## 2953 0.001834862 0.000000000 0.001834862
## 2970 0.000000000 0.001834862 0.001834862
## 2990 0.001834862 0.000000000 0.001834862
## 3000 0.020183486 0.005504587 0.025688073
## 3036 0.001834862 0.000000000 0.001834862
## 3040 0.001834862 0.000000000 0.001834862
## 3060 0.001834862 0.000000000 0.001834862
## 3069 0.001834862 0.000000000 0.001834862
## 3090 0.003669725 0.000000000 0.003669725
## 3100 0.001834862 0.000000000 0.001834862
## 3120 0.005504587 0.000000000 0.005504587
## 3150 0.005504587 0.001834862 0.007339450
## 3162 0.001834862 0.000000000 0.001834862
## 3180 0.011009174 0.001834862 0.012844037
## 3185 0.005504587 0.000000000 0.005504587
## 3210 0.001834862 0.000000000 0.001834862
## 3240 0.003669725 0.001834862 0.005504587
## 3264 0.001834862 0.000000000 0.001834862
## 3290 0.001834862 0.000000000 0.001834862
## 3300 0.001834862 0.001834862 0.003669725
## 3350 0.001834862 0.000000000 0.001834862
## 3360 0.001834862 0.000000000 0.001834862
## 3400 0.001834862 0.000000000 0.001834862
## 3410 0.000000000 0.001834862 0.001834862
## 3420 0.003669725 0.003669725 0.007339450
## 3450 0.009174312 0.000000000 0.009174312
## 3460 0.003669725 0.000000000 0.003669725
## 3480 0.009174312 0.000000000 0.009174312
## 3500 0.009174312 0.001834862 0.011009174
## 3510 0.003669725 0.000000000 0.003669725
## 3512 0.001834862 0.000000000 0.001834862
## 3520 0.009174312 0.000000000 0.009174312
## 3540 0.000000000 0.001834862 0.001834862
## 3570 0.001834862 0.000000000 0.001834862
## 3584 0.001834862 0.000000000 0.001834862
## 3600 0.014678899 0.000000000 0.014678899
## 3620 0.001834862 0.000000000 0.001834862
## 3630 0.012844037 0.000000000 0.012844037
## 3635 0.001834862 0.000000000 0.001834862
## 3640 0.012844037 0.000000000 0.012844037
## 3649 0.001834862 0.000000000 0.001834862
## 3650 0.001834862 0.001834862 0.003669725
## 3660 0.001834862 0.000000000 0.001834862
## 3680 0.001834862 0.000000000 0.001834862
## 3700 0.000000000 0.001834862 0.001834862
## 3720 0.001834862 0.000000000 0.001834862
## 3745 0.001834862 0.000000000 0.001834862
## 3750 0.005504587 0.000000000 0.005504587
## 3760 0.001834862 0.001834862 0.003669725
## 3780 0.001834862 0.000000000 0.001834862
## 3792 0.001834862 0.000000000 0.001834862
## 3800 0.001834862 0.001834862 0.003669725
## 3816 0.001834862 0.000000000 0.001834862
## 3840 0.001834862 0.000000000 0.001834862
## 3850 0.009174312 0.000000000 0.009174312
## 3880 0.001834862 0.000000000 0.001834862
## 3900 0.001834862 0.000000000 0.001834862
## 3930 0.001834862 0.000000000 0.001834862
## 3934 0.001834862 0.000000000 0.001834862
## 3960 0.003669725 0.001834862 0.005504587
## 3968 0.001834862 0.000000000 0.001834862
## 3970 0.003669725 0.000000000 0.003669725
## 3986 0.001834862 0.000000000 0.001834862
## 3990 0.001834862 0.000000000 0.001834862
## 4000 0.016513761 0.003669725 0.020183486
## 4032 0.001834862 0.000000000 0.001834862
## 4040 0.011009174 0.001834862 0.012844037
## 4046 0.001834862 0.000000000 0.001834862
## 4050 0.003669725 0.000000000 0.003669725
## 4075 0.001834862 0.000000000 0.001834862
## 4079 0.001834862 0.000000000 0.001834862
## 4080 0.003669725 0.000000000 0.003669725
## 4095 0.001834862 0.001834862 0.003669725
## 4100 0.003669725 0.001834862 0.005504587
## 4120 0.001834862 0.001834862 0.003669725
## 4130 0.001834862 0.000000000 0.001834862
## 4160 0.001834862 0.001834862 0.003669725
## 4200 0.000000000 0.001834862 0.001834862
## 4240 0.001834862 0.000000000 0.001834862
## 4260 0.000000000 0.003669725 0.003669725
## 4280 0.001834862 0.000000000 0.001834862
## 4300 0.000000000 0.003669725 0.003669725
## 4320 0.005504587 0.001834862 0.007339450
## 4340 0.001834862 0.000000000 0.001834862
## 4350 0.001834862 0.001834862 0.003669725
## 4352 0.001834862 0.000000000 0.001834862
## 4360 0.001834862 0.000000000 0.001834862
## 4370 0.001834862 0.000000000 0.001834862
## 4400 0.005504587 0.001834862 0.007339450
## 4410 0.001834862 0.001834862 0.003669725
## 4500 0.020183486 0.003669725 0.023853211
## 4510 0.003669725 0.000000000 0.003669725
## 4520 0.000000000 0.001834862 0.001834862
## 4560 0.000000000 0.001834862 0.001834862
## 4600 0.005504587 0.003669725 0.009174312
## 4632 0.001834862 0.000000000 0.001834862
## 4640 0.000000000 0.001834862 0.001834862
## 4646 0.000000000 0.001834862 0.001834862
## 4700 0.000000000 0.001834862 0.001834862
## 4750 0.001834862 0.000000000 0.001834862
## 4770 0.000000000 0.001834862 0.001834862
## 4775 0.001834862 0.000000000 0.001834862
## 4785 0.001834862 0.000000000 0.001834862
## 4800 0.000000000 0.009174312 0.009174312
## 4815 0.000000000 0.001834862 0.001834862
## 4820 0.001834862 0.000000000 0.001834862
## 4840 0.003669725 0.000000000 0.003669725
## 4880 0.001834862 0.001834862 0.003669725
## 4900 0.003669725 0.000000000 0.003669725
## 4920 0.001834862 0.000000000 0.001834862
## 4950 0.001834862 0.000000000 0.001834862
## 4960 0.005504587 0.000000000 0.005504587
## 4990 0.001834862 0.000000000 0.001834862
## 4992 0.001834862 0.000000000 0.001834862
## 4995 0.000000000 0.001834862 0.001834862
## 5000 0.000000000 0.005504587 0.005504587
## 5010 0.001834862 0.000000000 0.001834862
## 5020 0.000000000 0.001834862 0.001834862
## 5040 0.001834862 0.000000000 0.001834862
## 5076 0.001834862 0.000000000 0.001834862
## 5136 0.000000000 0.001834862 0.001834862
## 5150 0.000000000 0.001834862 0.001834862
## 5170 0.001834862 0.000000000 0.001834862
## 5200 0.001834862 0.001834862 0.003669725
## 5300 0.003669725 0.001834862 0.005504587
## 5320 0.003669725 0.000000000 0.003669725
## 5360 0.001834862 0.000000000 0.001834862
## 5400 0.005504587 0.005504587 0.011009174
## 5450 0.001834862 0.001834862 0.003669725
## 5495 0.001834862 0.000000000 0.001834862
## 5500 0.003669725 0.012844037 0.016513761
## 5600 0.001834862 0.000000000 0.001834862
## 5640 0.001834862 0.000000000 0.001834862
## 5680 0.001834862 0.000000000 0.001834862
## 5700 0.000000000 0.001834862 0.001834862
## 5720 0.000000000 0.001834862 0.001834862
## 5750 0.000000000 0.001834862 0.001834862
## 5800 0.001834862 0.003669725 0.005504587
## 5828 0.000000000 0.001834862 0.001834862
## 5830 0.001834862 0.000000000 0.001834862
## 5850 0.003669725 0.000000000 0.003669725
## 5880 0.003669725 0.000000000 0.003669725
## 5885 0.001834862 0.000000000 0.001834862
## 5900 0.003669725 0.000000000 0.003669725
## 5948 0.000000000 0.001834862 0.001834862
## 5960 0.001834862 0.001834862 0.003669725
## 5985 0.001834862 0.000000000 0.001834862
## 6000 0.003669725 0.040366972 0.044036697
## 6020 0.001834862 0.000000000 0.001834862
## 6040 0.000000000 0.001834862 0.001834862
## 6050 0.000000000 0.001834862 0.001834862
## 6060 0.003669725 0.000000000 0.003669725
## 6100 0.000000000 0.005504587 0.005504587
## 6210 0.000000000 0.001834862 0.001834862
## 6240 0.000000000 0.001834862 0.001834862
## 6254 0.000000000 0.001834862 0.001834862
## 6300 0.000000000 0.001834862 0.001834862
## 6321 0.001834862 0.000000000 0.001834862
## 6325 0.000000000 0.001834862 0.001834862
## 6350 0.000000000 0.001834862 0.001834862
## 6360 0.005504587 0.007339450 0.012844037
## 6400 0.000000000 0.001834862 0.001834862
## 6420 0.000000000 0.007339450 0.007339450
## 6440 0.001834862 0.000000000 0.001834862
## 6450 0.001834862 0.001834862 0.003669725
## 6480 0.001834862 0.001834862 0.003669725
## 6500 0.000000000 0.003669725 0.003669725
## 6525 0.000000000 0.001834862 0.001834862
## 6540 0.000000000 0.005504587 0.005504587
## 6550 0.000000000 0.003669725 0.003669725
## 6600 0.000000000 0.016513761 0.016513761
## 6615 0.001834862 0.001834862 0.003669725
## 6650 0.001834862 0.000000000 0.001834862
## 6660 0.000000000 0.001834862 0.001834862
## 6670 0.000000000 0.001834862 0.001834862
## 6710 0.000000000 0.001834862 0.001834862
## 6720 0.000000000 0.001834862 0.001834862
## 6750 0.001834862 0.001834862 0.003669725
## 6800 0.001834862 0.001834862 0.003669725
## 6825 0.000000000 0.001834862 0.001834862
## 6840 0.000000000 0.001834862 0.001834862
## 6862 0.000000000 0.001834862 0.001834862
## 6900 0.000000000 0.003669725 0.003669725
## 6930 0.001834862 0.000000000 0.001834862
## 7000 0.001834862 0.007339450 0.009174312
## 7020 0.000000000 0.001834862 0.001834862
## 7085 0.000000000 0.001834862 0.001834862
## 7152 0.001834862 0.000000000 0.001834862
## 7155 0.000000000 0.001834862 0.001834862
## 7160 0.000000000 0.001834862 0.001834862
## 7200 0.000000000 0.003669725 0.003669725
## 7231 0.000000000 0.001834862 0.001834862
## 7260 0.001834862 0.000000000 0.001834862
## 7320 0.000000000 0.001834862 0.001834862
## 7350 0.001834862 0.000000000 0.001834862
## 7410 0.000000000 0.001834862 0.001834862
## 7420 0.000000000 0.003669725 0.003669725
## 7424 0.001834862 0.000000000 0.001834862
## 7440 0.000000000 0.003669725 0.003669725
## 7475 0.000000000 0.001834862 0.001834862
## 7482 0.000000000 0.001834862 0.001834862
## 7500 0.000000000 0.003669725 0.003669725
## 7600 0.000000000 0.001834862 0.001834862
## 7680 0.000000000 0.001834862 0.001834862
## 7686 0.000000000 0.001834862 0.001834862
## 7700 0.001834862 0.001834862 0.003669725
## 7770 0.001834862 0.000000000 0.001834862
## 7800 0.000000000 0.003669725 0.003669725
## 7950 0.000000000 0.001834862 0.001834862
## 7980 0.000000000 0.003669725 0.003669725
## 8000 0.000000000 0.001834862 0.001834862
## 8050 0.001834862 0.001834862 0.003669725
## 8080 0.001834862 0.000000000 0.001834862
## 8100 0.001834862 0.003669725 0.005504587
## 8150 0.000000000 0.001834862 0.001834862
## 8250 0.005504587 0.001834862 0.007339450
## 8372 0.000000000 0.001834862 0.001834862
## 8400 0.003669725 0.001834862 0.005504587
## 8500 0.000000000 0.001834862 0.001834862
## 8520 0.000000000 0.001834862 0.001834862
## 8580 0.000000000 0.003669725 0.003669725
## 8800 0.000000000 0.001834862 0.001834862
## 8875 0.000000000 0.001834862 0.001834862
## 8880 0.000000000 0.003669725 0.003669725
## 8960 0.000000000 0.001834862 0.001834862
## 9000 0.001834862 0.005504587 0.007339450
## 9166 0.001834862 0.000000000 0.001834862
## 9500 0.001834862 0.000000000 0.001834862
## 9620 0.000000000 0.001834862 0.001834862
## 9667 0.001834862 0.000000000 0.001834862
## 9800 0.000000000 0.001834862 0.001834862
## 9860 0.001834862 0.000000000 0.001834862
## 9960 0.000000000 0.001834862 0.001834862
## 10240 0.001834862 0.000000000 0.001834862
## 10269 0.000000000 0.001834862 0.001834862
## 10360 0.001834862 0.000000000 0.001834862
## 10500 0.000000000 0.005504587 0.005504587
## 10700 0.000000000 0.001834862 0.001834862
## 11175 0.000000000 0.001834862 0.001834862
## 11410 0.000000000 0.001834862 0.001834862
## 11440 0.000000000 0.001834862 0.001834862
## 11460 0.000000000 0.001834862 0.001834862
## 12090 0.000000000 0.001834862 0.001834862
## 12900 0.000000000 0.001834862 0.001834862
## 12944 0.001834862 0.000000000 0.001834862
## 13200 0.000000000 0.003669725 0.003669725
## 15600 0.000000000 0.001834862 0.001834862
## 16200 0.000000000 0.001834862 0.001834862
## Sum 0.592660550 0.407339450 1.000000000- Biểu đồ
ggplot(house, aes(area, fill = house1)) + geom_bar(position = 'dodge')
4.1.2 Biến Price và biến mainroad
- Bảng tần số, tần suất
b <- table(house$mainroad, house1)
b## house1
## Thấp Cao
## no 69 8
## yes 254 214bb <- prop.table(b)
addmargins(bb)## house1
## Thấp Cao Sum
## no 0.1266055 0.0146789 0.1412844
## yes 0.4660550 0.3926606 0.8587156
## Sum 0.5926606 0.4073394 1.0000000- Đồ thị
ggplot(house, aes(mainroad, fill = house1)) + geom_bar(position = 'dodge')
4.1.3 Biến Price và biến bedrooms
- Bảng tần số, bảng tần suất
c <- table(house$bedrooms, house1)
c## house1
## Thấp Cao
## 1 2 0
## 2 121 15
## 3 158 142
## 4 37 58
## 5 4 6
## 6 1 1cc <- prop.table(c)
addmargins(cc)## house1
## Thấp Cao Sum
## 1 0.003669725 0.000000000 0.003669725
## 2 0.222018349 0.027522936 0.249541284
## 3 0.289908257 0.260550459 0.550458716
## 4 0.067889908 0.106422018 0.174311927
## 5 0.007339450 0.011009174 0.018348624
## 6 0.001834862 0.001834862 0.003669725
## Sum 0.592660550 0.407339450 1.000000000- Đồ thị
ggplot(house, aes(bedrooms, fill = house1)) + geom_bar(position = 'dodge')
4.1.4 Biến Price và biến Bathrooms
- Bảng tần số, bảng tần suất
d <- table(house$bathrooms, house1)
d## house1
## Thấp Cao
## 1 289 112
## 2 32 101
## 3 2 8
## 4 0 1dd <- prop.table(d)
addmargins(dd)## house1
## Thấp Cao Sum
## 1 0.530275229 0.205504587 0.735779817
## 2 0.058715596 0.185321101 0.244036697
## 3 0.003669725 0.014678899 0.018348624
## 4 0.000000000 0.001834862 0.001834862
## Sum 0.592660550 0.407339450 1.000000000- Đồ thị
ggplot(house, aes(bathrooms, fill = house1)) + geom_bar(position = 'dodge')
4.1.5 Biến Price và biến Hot water heating
- Bảng tần số, bảng tần suất
e <- table(house$hotwaterheating, house1)
e## house1
## Thấp Cao
## no 312 208
## yes 11 14ee <- prop.table(e)
addmargins(ee)## house1
## Thấp Cao Sum
## no 0.57247706 0.38165138 0.95412844
## yes 0.02018349 0.02568807 0.04587156
## Sum 0.59266055 0.40733945 1.00000000- Đồ thị
ggplot(house, aes(hotwaterheating, fill = house1)) + geom_bar(position = 'dodge')
# Bài tập về nhà tuần 3 - 4
Kiểm định tính độc lập của từng biến
4.2 Biến Price và biến Area
Giả thuyết:
H0: Biến price và biến area độc lập với nhau
H1: Biến price và biến area không độc lập với nhau
gil <- table (house$price, house$area)
gil##
## 1650 1700 1836 1905 1950 2000 2015 2135 2145 2160 2175 2176 2275
## 1750000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 1767150 0 0 0 0 0 0 0 0 0 0 0 0 0
## 1820000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 1855000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 1890000 0 1 0 0 0 0 0 0 0 0 0 0 0
## 1960000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2100000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2135000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2233000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2240000 0 0 0 0 1 0 0 0 0 0 0 0 0
## 2275000 0 0 1 0 0 0 0 0 0 0 0 0 0
## 2310000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2345000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2380000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2408000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2450000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2485000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2520000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2590000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2604000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2653000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2660000 0 0 0 0 0 1 0 0 0 0 0 0 0
## 2695000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2730000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2800000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2835000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2852500 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2870000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2940000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2961000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 2975000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3003000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3010000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3045000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3080000 0 0 0 0 0 0 0 0 0 1 0 0 0
## 3087000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3115000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3118850 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3129000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3143000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3150000 1 0 0 0 0 0 0 0 0 0 0 0 0
## 3220000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3234000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3255000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3290000 0 0 0 0 0 0 0 0 1 0 0 0 0
## 3325000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3332000 0 0 0 0 0 0 0 0 1 0 0 0 0
## 3353000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3360000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3395000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3423000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3430000 0 0 0 0 1 0 0 0 1 0 0 0 0
## 3465000 0 0 0 0 0 0 0 0 1 0 0 0 0
## 3493000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3500000 0 0 0 0 0 0 0 1 0 0 0 0 0
## 3535000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3570000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3605000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3633000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3640000 0 0 0 0 0 0 0 0 0 0 0 0 1
## 3675000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3703000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3710000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3745000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3773000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3780000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3815000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3836000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3850000 0 0 0 0 0 0 1 0 0 0 0 1 0
## 3885000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 3920000 0 0 0 0 0 0 0 0 1 0 0 0 0
## 3990000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4007500 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4025000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4060000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4095000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4098500 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4123000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4130000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4165000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4193000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4200000 0 0 0 0 0 0 0 0 1 0 0 0 0
## 4235000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4270000 0 0 0 0 0 0 0 0 0 0 1 0 0
## 4277000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4305000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4319000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4340000 0 0 0 1 0 0 0 0 0 0 0 0 0
## 4375000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4382000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4403000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4410000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4445000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4473000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4480000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4515000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4543000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4550000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4585000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4613000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4620000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4655000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4690000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4753000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4760000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4767000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4795000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4830000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4865000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4893000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4900000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4907000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4935000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4956000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 4970000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5005000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5033000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5040000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5075000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5110000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5145000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5215000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5229000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5243000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5250000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5285000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5320000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5383000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5390000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5425000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5460000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5495000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5523000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5530000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5565000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5600000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5652500 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5740000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5775000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5803000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5810000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5866000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5873000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5880000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5943000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 5950000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 6020000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 6083000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 6090000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 6107500 0 0 0 0 0 0 0 0 0 0 0 0 0
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## 7910000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 7962500 0 0 0 0 0 0 0 0 0 0 0 0 0
## 7980000 0 1 0 0 0 0 0 0 0 0 0 0 0
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## 8190000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 8295000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 8400000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 8463000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 8540000 0 0 0 0 0 0 0 0 0 0 0 0 0
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## 8645000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 8680000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 8750000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 8855000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 8890000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 8960000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 9100000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 9240000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 9310000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 9681000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 9800000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 9870000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 10150000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 10850000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 11410000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 12215000 0 0 0 0 0 0 0 0 0 0 0 0 0
## 12250000 1 0 0 0 0 0 0 0 1 0 0 0 0
## 13300000 0 0 0 0 0 0 0 0 0 0 0 0 0
##
## 10700 11175 11410 11440 11460 12090 12900 12944 13200 15600 16200
## 1750000 0 0 0 0 0 0 0 0 0 0 0
## 1767150 0 0 0 0 0 0 0 0 0 0 0
## 1820000 0 0 0 0 0 0 0 0 0 0 0
## 1855000 0 0 0 0 0 0 0 0 0 0 0
## 1890000 0 0 0 0 0 0 0 0 0 0 0
## 1960000 0 0 0 0 0 0 0 0 0 0 0
## 2100000 0 0 0 0 0 0 0 0 0 0 0
## 2135000 0 0 0 0 0 0 0 0 0 0 0
## 2233000 0 0 0 0 0 0 0 0 0 0 0
## 2240000 0 0 0 0 0 0 0 0 0 0 0
## 2275000 0 0 0 0 0 0 0 0 0 0 0
## 2310000 0 0 0 0 0 0 0 0 0 0 0
## 2345000 0 0 0 0 0 0 0 0 0 0 0
## 2380000 0 0 0 0 0 0 0 0 0 0 0
## 2408000 0 0 0 0 0 0 0 0 0 0 0
## 2450000 0 0 0 0 0 0 0 0 0 0 0
## 2485000 0 0 0 0 0 0 0 0 0 0 0
## 2520000 0 0 0 0 0 0 0 0 0 0 0
## 2590000 0 0 0 0 0 0 0 0 0 0 0
## 2604000 0 0 0 0 0 0 0 0 0 0 0
## 2653000 0 0 0 0 0 0 0 0 0 0 0
## 2660000 0 0 0 0 0 0 0 0 0 0 0
## 2695000 0 0 0 0 0 0 0 0 0 0 0
## 2730000 0 0 0 0 0 0 0 0 0 0 0
## 2800000 0 0 0 0 0 0 0 0 0 0 0
## 2835000 0 0 0 0 0 0 0 0 0 0 0
## 2852500 0 0 0 0 0 0 0 0 0 0 0
## 2870000 0 0 0 0 0 0 0 0 0 0 0
## 2940000 0 0 0 0 0 0 0 0 0 0 0
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## 3360000 0 0 0 0 0 0 0 0 0 0 0
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## 3430000 0 0 0 0 0 0 0 0 0 0 0
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## 3493000 0 0 0 0 0 0 0 0 0 0 0
## 3500000 0 0 0 0 0 0 0 1 0 0 0
## 3535000 0 0 0 0 0 0 0 0 0 0 0
## 3570000 0 0 0 0 0 0 0 0 0 0 0
## 3605000 0 0 0 0 0 0 0 0 0 0 0
## 3633000 0 0 0 0 0 0 0 0 0 0 0
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## 3675000 0 0 0 0 0 0 0 0 0 0 0
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## 3773000 0 0 0 0 0 0 0 0 0 0 0
## 3780000 0 0 0 0 0 0 0 0 0 0 0
## 3815000 0 0 0 0 0 0 0 0 0 0 0
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## 3850000 0 0 0 0 0 0 0 0 0 0 0
## 3885000 0 0 0 0 0 0 0 0 0 0 0
## 3920000 0 0 0 0 0 0 0 0 0 0 0
## 3990000 0 0 0 0 0 0 0 0 0 0 0
## 4007500 0 0 0 0 0 0 0 0 0 0 0
## 4025000 0 0 0 0 0 0 0 0 0 0 0
## 4060000 0 0 0 0 0 0 0 0 0 0 0
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## 4193000 0 0 0 0 0 0 0 0 0 0 0
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## 4620000 0 0 0 0 0 0 0 0 0 0 0
## 4655000 0 0 0 0 0 0 0 0 0 0 0
## 4690000 0 0 0 0 0 0 0 0 0 0 0
## 4753000 0 0 0 0 0 0 0 0 0 0 0
## 4760000 0 0 0 0 0 0 0 0 0 0 0
## 4767000 0 0 0 0 0 0 0 0 0 0 0
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## 4893000 0 0 0 0 0 0 0 0 0 0 0
## 4900000 0 0 0 0 0 0 1 0 0 0 0
## 4907000 0 0 0 0 0 0 0 0 0 0 0
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## 4970000 0 0 0 0 0 0 0 0 0 0 0
## 5005000 0 0 0 0 0 0 0 0 0 0 0
## 5033000 0 0 0 0 0 0 0 0 0 0 0
## 5040000 1 0 0 0 0 0 0 0 0 0 0
## 5075000 0 0 0 0 0 0 0 0 0 0 0
## 5110000 0 0 1 0 0 0 0 0 0 0 0
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## 8080940 0 0 0 0 0 0 0 0 0 0 0
## 8120000 0 0 0 0 0 0 0 0 0 0 0
## 8190000 0 0 0 0 0 0 0 0 0 0 0
## 8295000 0 0 0 0 0 0 0 0 0 0 0
## 8400000 0 0 0 0 0 0 0 0 0 0 0
## 8463000 0 0 0 0 0 0 0 0 0 0 0
## 8540000 0 0 0 0 0 0 0 0 0 0 0
## 8575000 0 0 0 0 0 0 0 0 0 0 0
## 8645000 0 0 0 0 0 0 0 0 0 0 0
## 8680000 0 0 0 0 0 0 0 0 0 0 0
## 8750000 0 0 0 0 0 0 0 0 0 0 0
## 8855000 0 0 0 0 0 0 0 0 0 0 0
## 8890000 0 0 0 0 0 0 0 0 0 0 0
## 8960000 0 0 0 0 0 0 0 0 0 0 0
## 9100000 0 0 0 0 0 0 0 0 0 0 0
## 9240000 0 0 0 0 0 0 0 0 0 0 0
## 9310000 0 0 0 0 0 0 0 0 0 0 0
## 9681000 0 0 0 0 0 0 0 0 0 0 0
## 9800000 0 0 0 0 0 0 0 0 1 0 0
## 9870000 0 0 0 0 0 0 0 0 0 0 0
## 10150000 0 0 0 0 0 0 0 0 0 0 1
## 10850000 0 0 0 0 0 0 0 0 0 0 0
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## 12215000 0 0 0 0 0 0 0 0 0 0 0
## 12250000 0 0 0 0 0 0 0 0 0 0 0
## 13300000 0 0 0 0 0 0 0 0 0 0 0chisq.test(gil)## Warning in chisq.test(gil): Chi-squared approximation may be incorrect##
## Pearson's Chi-squared test
##
## data: gil
## X-squared = 59789, df = 61694, p-value = 1Vì p_value = 1 > 0.05 nên ta chấp nhận giả thuyết H0. Nghĩa là Biến price và biến area độc lập với nhau
4.3 Biến Price và biến mainroad
Giả thuyết:
H0: Biến price và biến mainroad độc lập với nhau
H1: Biến price và biến mainroad không độc lập với nhau
gil <- table (house$price, house$mainroad)
gil##
## no yes
## 1750000 1 2
## 1767150 1 0
## 1820000 0 1
## 1855000 1 0
## 1890000 0 2
## 1960000 1 0
## 2100000 0 3
## 2135000 1 0
## 2233000 1 0
## 2240000 1 0
## 2275000 2 1
## 2310000 0 1
## 2345000 0 1
## 2380000 0 3
## 2408000 1 0
## 2450000 1 5
## 2485000 1 1
## 2520000 2 1
## 2590000 0 3
## 2604000 1 0
## 2653000 0 2
## 2660000 2 5
## 2695000 0 1
## 2730000 0 2
## 2800000 0 2
## 2835000 3 0
## 2852500 0 1
## 2870000 1 3
## 2940000 5 3
## 2961000 0 1
## 2975000 1 0
## 3003000 0 1
## 3010000 2 5
## 3045000 0 1
## 3080000 1 3
## 3087000 0 1
## 3115000 1 2
## 3118850 0 1
## 3129000 0 1
## 3143000 0 1
## 3150000 3 6
## 3220000 2 2
## 3234000 0 1
## 3255000 2 0
## 3290000 2 6
## 3325000 0 2
## 3332000 0 1
## 3353000 1 0
## 3360000 3 5
## 3395000 0 3
## 3423000 0 1
## 3430000 0 6
## 3465000 0 3
## 3493000 1 0
## 3500000 3 14
## 3535000 0 1
## 3570000 1 3
## 3605000 0 2
## 3633000 0 1
## 3640000 2 7
## 3675000 1 3
## 3703000 1 1
## 3710000 0 5
## 3745000 0 1
## 3773000 2 1
## 3780000 0 6
## 3815000 1 0
## 3836000 0 1
## 3850000 0 7
## 3885000 0 2
## 3920000 0 7
## 3990000 3 2
## 4007500 1 1
## 4025000 0 3
## 4060000 1 4
## 4095000 0 3
## 4098500 0 1
## 4123000 0 1
## 4130000 0 2
## 4165000 0 3
## 4193000 0 2
## 4200000 5 12
## 4235000 0 2
## 4270000 1 5
## 4277000 0 1
## 4305000 0 2
## 4319000 0 1
## 4340000 1 4
## 4375000 0 1
## 4382000 0 1
## 4403000 0 3
## 4410000 1 1
## 4445000 0 1
## 4473000 0 3
## 4480000 0 5
## 4515000 0 4
## 4543000 0 2
## 4550000 0 7
## 4585000 0 2
## 4613000 0 1
## 4620000 0 5
## 4655000 0 1
## 4690000 0 6
## 4753000 0 1
## 4760000 0 3
## 4767000 0 1
## 4795000 0 2
## 4830000 0 4
## 4865000 0 1
## 4893000 0 2
## 4900000 1 11
## 4907000 0 1
## 4935000 0 1
## 4956000 1 0
## 4970000 0 2
## 5005000 0 1
## 5033000 0 1
## 5040000 1 3
## 5075000 0 1
## 5110000 0 4
## 5145000 1 1
## 5215000 1 2
## 5229000 0 1
## 5243000 0 1
## 5250000 1 8
## 5285000 0 1
## 5320000 0 1
## 5383000 0 1
## 5390000 0 1
## 5425000 0 1
## 5460000 0 4
## 5495000 1 1
## 5523000 0 1
## 5530000 0 3
## 5565000 0 2
## 5600000 1 8
## 5652500 0 1
## 5740000 0 5
## 5775000 0 1
## 5803000 0 1
## 5810000 0 3
## 5866000 0 1
## 5873000 0 2
## 5880000 0 2
## 5943000 0 1
## 5950000 0 8
## 6020000 0 3
## 6083000 0 2
## 6090000 0 3
## 6107500 0 1
## 6125000 0 1
## 6160000 0 2
## 6195000 0 3
## 6230000 0 2
## 6265000 0 1
## 6293000 0 1
## 6300000 0 5
## 6405000 0 1
## 6419000 0 1
## 6440000 0 2
## 6475000 0 2
## 6510000 0 3
## 6580000 0 1
## 6615000 0 2
## 6629000 0 1
## 6650000 0 6
## 6685000 0 1
## 6720000 0 1
## 6755000 0 1
## 6790000 0 2
## 6860000 0 1
## 6895000 0 1
## 6930000 0 2
## 7e+06 0 1
## 7035000 0 1
## 7070000 0 2
## 7140000 0 1
## 7210000 0 2
## 7245000 0 1
## 7343000 0 1
## 7350000 0 4
## 7420000 0 3
## 7455000 0 1
## 7490000 0 1
## 7525000 0 1
## 7560000 0 2
## 7700000 0 2
## 7840000 0 1
## 7875000 0 1
## 7910000 0 1
## 7962500 0 1
## 7980000 0 1
## 8043000 0 1
## 8080940 0 1
## 8120000 0 1
## 8190000 0 1
## 8295000 0 1
## 8400000 0 5
## 8463000 0 1
## 8540000 0 1
## 8575000 0 1
## 8645000 0 2
## 8680000 0 1
## 8750000 0 1
## 8855000 0 1
## 8890000 0 1
## 8960000 0 1
## 9100000 0 2
## 9240000 0 2
## 9310000 0 1
## 9681000 0 1
## 9800000 0 2
## 9870000 0 1
## 10150000 0 2
## 10850000 0 1
## 11410000 0 1
## 12215000 0 1
## 12250000 0 2
## 13300000 0 1chisq.test(gil)## Warning in chisq.test(gil): Chi-squared approximation may be incorrect##
## Pearson's Chi-squared test
##
## data: gil
## X-squared = 243.54, df = 218, p-value = 0.1131Vì p_value = 0.1131 > 0.05 nên ta chấp nhận giả thuyết H0. Nghĩa là Biến price và biến mainroad độc lập với nhau
4.4 Biến Price và biến bedrooms
Giả thuyết:
H0: Biến price và biến bedrooms độc lập với nhau
H1: Biến price và biến bedrooms không độc lập với nhau
gil <- table (house$price, house$bedrooms)
gil##
## 1 2 3 4 5 6
## 1750000 0 1 2 0 0 0
## 1767150 0 0 1 0 0 0
## 1820000 0 1 0 0 0 0
## 1855000 0 1 0 0 0 0
## 1890000 0 1 1 0 0 0
## 1960000 0 0 0 0 1 0
## 2100000 0 1 1 1 0 0
## 2135000 0 1 0 0 0 0
## 2233000 0 0 1 0 0 0
## 2240000 0 0 1 0 0 0
## 2275000 1 1 1 0 0 0
## 2310000 0 1 0 0 0 0
## 2345000 0 1 0 0 0 0
## 2380000 0 1 1 1 0 0
## 2408000 0 1 0 0 0 0
## 2450000 0 5 1 0 0 0
## 2485000 0 0 2 0 0 0
## 2520000 0 1 2 0 0 0
## 2590000 0 3 0 0 0 0
## 2604000 0 1 0 0 0 0
## 2653000 0 1 1 0 0 0
## 2660000 0 3 4 0 0 0
## 2695000 0 1 0 0 0 0
## 2730000 0 1 1 0 0 0
## 2800000 0 0 2 0 0 0
## 2835000 0 1 2 0 0 0
## 2852500 0 0 0 1 0 0
## 2870000 0 3 0 1 0 0
## 2940000 0 2 5 1 0 0
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## 3535000 0 0 1 0 0 0
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## 3780000 0 4 2 0 0 0
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## 3885000 0 1 0 1 0 0
## 3920000 0 2 3 2 0 0
## 3990000 0 1 3 1 0 0
## 4007500 0 0 1 1 0 0
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## 4098500 0 0 1 0 0 0
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## 8750000 0 0 1 0 0 0
## 8855000 0 0 1 0 0 0
## 8890000 0 0 1 0 0 0
## 8960000 0 0 1 0 0 0
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## 9310000 0 0 0 1 0 0
## 9681000 0 0 0 1 0 0
## 9800000 0 0 2 0 0 0
## 9870000 0 0 0 1 0 0
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## 12215000 0 0 0 1 0 0
## 12250000 0 0 1 1 0 0
## 13300000 0 0 0 1 0 0chisq.test(gil)## Warning in chisq.test(gil): Chi-squared approximation may be incorrect##
## Pearson's Chi-squared test
##
## data: gil
## X-squared = 1000.3, df = 1090, p-value = 0.9751Vì p_value = 0.9751 > 0.05 nên ta chấp nhận giả thuyết H0. Nghĩa là Biến price và biến bedrooms độc lập với nhau
4.5 Biến price và biến bathrooms
Giả thuyết:
H0: Biến price và biến bathrooms độc lập với nhau
H1: Biến price và biến bathrooms không độc lập với nhau
gil <- table (house$price, house$bathrooms)
gil##
## 1 2 3 4
## 1750000 3 0 0 0
## 1767150 1 0 0 0
## 1820000 1 0 0 0
## 1855000 1 0 0 0
## 1890000 2 0 0 0
## 1960000 1 0 0 0
## 2100000 3 0 0 0
## 2135000 1 0 0 0
## 2233000 1 0 0 0
## 2240000 1 0 0 0
## 2275000 3 0 0 0
## 2310000 1 0 0 0
## 2345000 1 0 0 0
## 2380000 2 1 0 0
## 2408000 1 0 0 0
## 2450000 6 0 0 0
## 2485000 2 0 0 0
## 2520000 3 0 0 0
## 2590000 2 1 0 0
## 2604000 1 0 0 0
## 2653000 2 0 0 0
## 2660000 6 0 1 0
## 2695000 1 0 0 0
## 2730000 2 0 0 0
## 2800000 2 0 0 0
## 2835000 3 0 0 0
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## 2870000 4 0 0 0
## 2940000 8 0 0 0
## 2961000 1 0 0 0
## 2975000 1 0 0 0
## 3003000 1 0 0 0
## 3010000 7 0 0 0
## 3045000 1 0 0 0
## 3080000 4 0 0 0
## 3087000 1 0 0 0
## 3115000 3 0 0 0
## 3118850 1 0 0 0
## 3129000 1 0 0 0
## 3143000 1 0 0 0
## 3150000 8 1 0 0
## 3220000 4 0 0 0
## 3234000 1 0 0 0
## 3255000 2 0 0 0
## 3290000 8 0 0 0
## 3325000 2 0 0 0
## 3332000 1 0 0 0
## 3353000 1 0 0 0
## 3360000 8 0 0 0
## 3395000 3 0 0 0
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## 3780000 6 0 0 0
## 3815000 0 1 0 0
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## 3885000 1 1 0 0
## 3920000 5 2 0 0
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## 4007500 2 0 0 0
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## 4060000 3 2 0 0
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## 6090000 2 1 0 0
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## 6405000 0 1 0 0
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## 6440000 1 0 1 0
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## 6615000 0 2 0 0
## 6629000 1 0 0 0
## 6650000 2 4 0 0
## 6685000 0 1 0 0
## 6720000 1 0 0 0
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## 6790000 0 2 0 0
## 6860000 1 0 0 0
## 6895000 0 1 0 0
## 6930000 1 1 0 0
## 7e+06 1 0 0 0
## 7035000 0 1 0 0
## 7070000 1 1 0 0
## 7140000 0 1 0 0
## 7210000 0 2 0 0
## 7245000 0 1 0 0
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## 7350000 1 3 0 0
## 7420000 1 2 0 0
## 7455000 0 1 0 0
## 7490000 1 0 0 0
## 7525000 0 1 0 0
## 7560000 0 2 0 0
## 7700000 0 2 0 0
## 7840000 0 1 0 0
## 7875000 1 0 0 0
## 7910000 0 1 0 0
## 7962500 1 0 0 0
## 7980000 0 1 0 0
## 8043000 0 1 0 0
## 8080940 0 1 0 0
## 8120000 1 0 0 0
## 8190000 0 0 1 0
## 8295000 0 1 0 0
## 8400000 2 3 0 0
## 8463000 0 1 0 0
## 8540000 0 1 0 0
## 8575000 0 1 0 0
## 8645000 1 1 0 0
## 8680000 0 1 0 0
## 8750000 1 0 0 0
## 8855000 0 1 0 0
## 8890000 0 1 0 0
## 8960000 0 1 0 0
## 9100000 1 1 0 0
## 9240000 0 2 0 0
## 9310000 0 1 0 0
## 9681000 0 0 1 0
## 9800000 1 1 0 0
## 9870000 1 0 0 0
## 10150000 0 0 2 0
## 10850000 0 0 1 0
## 11410000 1 0 0 0
## 12215000 0 1 0 0
## 12250000 0 1 0 1
## 13300000 0 1 0 0chisq.test(gil)## Warning in chisq.test(gil): Chi-squared approximation may be incorrect##
## Pearson's Chi-squared test
##
## data: gil
## X-squared = 938.26, df = 654, p-value = 1.68e-12Vì p_value = 1.68e-12 < 0.05 nên ta bác bỏ giả thuyết H0. Nghĩa là Biến price và biến bathrooms không độc lập với nhau
4.6 Biến price và biến Hot water heating
Giả thuyết:
H0: Biến price và biến Hot water heating độc lập với nhau
H1: Biến price và biến Hot water heating không độc lập với nhau }
gil <- table (house$price, house$hotwaterheating)
gil##
## no yes
## 1750000 3 0
## 1767150 1 0
## 1820000 1 0
## 1855000 1 0
## 1890000 2 0
## 1960000 1 0
## 2100000 3 0
## 2135000 1 0
## 2233000 1 0
## 2240000 0 1
## 2275000 3 0
## 2310000 1 0
## 2345000 1 0
## 2380000 3 0
## 2408000 1 0
## 2450000 6 0
## 2485000 2 0
## 2520000 3 0
## 2590000 3 0
## 2604000 1 0
## 2653000 2 0
## 2660000 7 0
## 2695000 1 0
## 2730000 2 0
## 2800000 2 0
## 2835000 2 1
## 2852500 1 0
## 2870000 4 0
## 2940000 8 0
## 2961000 1 0
## 2975000 1 0
## 3003000 1 0
## 3010000 7 0
## 3045000 1 0
## 3080000 3 1
## 3087000 1 0
## 3115000 3 0
## 3118850 1 0
## 3129000 1 0
## 3143000 1 0
## 3150000 9 0
## 3220000 4 0
## 3234000 1 0
## 3255000 2 0
## 3290000 8 0
## 3325000 2 0
## 3332000 1 0
## 3353000 1 0
## 3360000 8 0
## 3395000 3 0
## 3423000 1 0
## 3430000 6 0
## 3465000 3 0
## 3493000 1 0
## 3500000 17 0
## 3535000 1 0
## 3570000 4 0
## 3605000 2 0
## 3633000 1 0
## 3640000 8 1
## 3675000 4 0
## 3703000 1 1
## 3710000 4 1
## 3745000 1 0
## 3773000 3 0
## 3780000 5 1
## 3815000 1 0
## 3836000 1 0
## 3850000 7 0
## 3885000 2 0
## 3920000 6 1
## 3990000 5 0
## 4007500 2 0
## 4025000 2 1
## 4060000 5 0
## 4095000 3 0
## 4098500 1 0
## 4123000 1 0
## 4130000 2 0
## 4165000 3 0
## 4193000 2 0
## 4200000 16 1
## 4235000 2 0
## 4270000 6 0
## 4277000 1 0
## 4305000 2 0
## 4319000 1 0
## 4340000 4 1
## 4375000 1 0
## 4382000 1 0
## 4403000 3 0
## 4410000 2 0
## 4445000 1 0
## 4473000 3 0
## 4480000 5 0
## 4515000 4 0
## 4543000 2 0
## 4550000 7 0
## 4585000 2 0
## 4613000 1 0
## 4620000 5 0
## 4655000 1 0
## 4690000 6 0
## 4753000 1 0
## 4760000 3 0
## 4767000 1 0
## 4795000 2 0
## 4830000 4 0
## 4865000 1 0
## 4893000 2 0
## 4900000 12 0
## 4907000 1 0
## 4935000 1 0
## 4956000 1 0
## 4970000 1 1
## 5005000 1 0
## 5033000 1 0
## 5040000 4 0
## 5075000 1 0
## 5110000 4 0
## 5145000 2 0
## 5215000 3 0
## 5229000 1 0
## 5243000 1 0
## 5250000 9 0
## 5285000 1 0
## 5320000 1 0
## 5383000 0 1
## 5390000 1 0
## 5425000 1 0
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## 5495000 2 0
## 5523000 1 0
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## 5565000 2 0
## 5600000 8 1
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## 5740000 5 0
## 5775000 1 0
## 5803000 1 0
## 5810000 3 0
## 5866000 1 0
## 5873000 2 0
## 5880000 2 0
## 5943000 1 0
## 5950000 8 0
## 6020000 3 0
## 6083000 2 0
## 6090000 2 1
## 6107500 1 0
## 6125000 1 0
## 6160000 2 0
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## 6265000 1 0
## 6293000 1 0
## 6300000 5 0
## 6405000 1 0
## 6419000 1 0
## 6440000 2 0
## 6475000 2 0
## 6510000 2 1
## 6580000 1 0
## 6615000 2 0
## 6629000 0 1
## 6650000 4 2
## 6685000 1 0
## 6720000 1 0
## 6755000 1 0
## 6790000 2 0
## 6860000 1 0
## 6895000 1 0
## 6930000 1 1
## 7e+06 1 0
## 7035000 1 0
## 7070000 2 0
## 7140000 1 0
## 7210000 2 0
## 7245000 1 0
## 7343000 1 0
## 7350000 4 0
## 7420000 3 0
## 7455000 1 0
## 7490000 1 0
## 7525000 1 0
## 7560000 2 0
## 7700000 2 0
## 7840000 1 0
## 7875000 1 0
## 7910000 1 0
## 7962500 1 0
## 7980000 1 0
## 8043000 0 1
## 8080940 1 0
## 8120000 1 0
## 8190000 1 0
## 8295000 1 0
## 8400000 4 1
## 8463000 1 0
## 8540000 1 0
## 8575000 1 0
## 8645000 2 0
## 8680000 1 0
## 8750000 0 1
## 8855000 1 0
## 8890000 1 0
## 8960000 1 0
## 9100000 2 0
## 9240000 1 1
## 9310000 1 0
## 9681000 0 1
## 9800000 2 0
## 9870000 1 0
## 10150000 2 0
## 10850000 1 0
## 11410000 1 0
## 12215000 1 0
## 12250000 2 0
## 13300000 1 0chisq.test(gil)## Warning in chisq.test(gil): Chi-squared approximation may be incorrect##
## Pearson's Chi-squared test
##
## data: gil
## X-squared = 235.19, df = 218, p-value = 0.202Vì p_value = 0.202 > 0.05 nên ta chấp nhận giả thuyết H0. Nghĩa là Biến price và biến Hot water heating độc lập với nhau
5 Bài tập về nhà tuần 5 - 6
5.1 Mô hình hồi quy
5.1.1 Ước lượng mô hình hàm hồi quy
- Mô hình hồi quy logistic
fit <- glm(factor (price) ~ house$area + house$mainroad + house$hotwaterheating + house$bedrooms + house$bathrooms, family = binomial(link = "logit"), data = house)## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurredsummary(fit)##
## Call:
## glm(formula = factor(price) ~ house$area + house$mainroad + house$hotwaterheating +
## house$bedrooms + house$bathrooms, family = binomial(link = "logit"),
## data = house)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -1.538e+01 3.470e+03 -0.004 0.996
## house$area 6.138e-04 5.612e-04 1.094 0.274
## house$mainroadyes 4.566e-01 1.289e+00 0.354 0.723
## house$hotwaterheatingyes 1.721e+01 8.498e+03 0.002 0.998
## house$bedrooms 2.444e-01 8.664e-01 0.282 0.778
## house$bathrooms 1.674e+01 3.470e+03 0.005 0.996
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 37.196 on 544 degrees of freedom
## Residual deviance: 32.656 on 539 degrees of freedom
## AIC: 44.656
##
## Number of Fisher Scoring iterations: 21- Mô hình hồi quy probit
fit1 <- glm(factor (price) ~ house$area + house$mainroad + house$hotwaterheating + house$bedrooms + house$bathrooms, family = binomial(link = "probit"), data = house)## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurredsummary(fit1)##
## Call:
## glm(formula = factor(price) ~ house$area + house$mainroad + house$hotwaterheating +
## house$bedrooms + house$bathrooms, family = binomial(link = "probit"),
## data = house)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -2.725e+00 4.554e+02 -0.006 0.995
## house$area 2.437e-04 2.123e-04 1.148 0.251
## house$mainroadyes 1.656e-01 5.041e-01 0.328 0.743
## house$hotwaterheatingyes 3.930e+00 1.124e+03 0.003 0.997
## house$bedrooms 1.016e-01 3.264e-01 0.311 0.756
## house$bathrooms 3.752e+00 4.554e+02 0.008 0.993
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 37.196 on 544 degrees of freedom
## Residual deviance: 32.518 on 539 degrees of freedom
## AIC: 44.518
##
## Number of Fisher Scoring iterations: 20- Mô hình hồi quy Cloglog
fit2 <- glm(factor(price) ~ house$area + house$mainroad + house$hotwaterheating + house$bedrooms + house$bathrooms, family = binomial(link = "cloglog"), data = house)## Warning: glm.fit: fitted probabilities numerically 0 or 1 occurredsummary(fit2)##
## Call:
## glm(formula = factor(price) ~ house$area + house$mainroad + house$hotwaterheating +
## house$bedrooms + house$bathrooms, family = binomial(link = "cloglog"),
## data = house)
##
## Coefficients:
## Estimate Std. Error z value Pr(>|z|)
## (Intercept) -9.061e-01 1.727e+02 -0.005 0.996
## house$area 1.481e-04 1.249e-04 1.186 0.236
## house$mainroadyes 9.306e-02 3.040e-01 0.306 0.760
## house$hotwaterheatingyes 1.736e+00 4.309e+02 0.004 0.997
## house$bedrooms 6.309e-02 1.902e-01 0.332 0.740
## house$bathrooms 1.641e+00 1.727e+02 0.010 0.992
##
## (Dispersion parameter for binomial family taken to be 1)
##
## Null deviance: 37.196 on 544 degrees of freedom
## Residual deviance: 32.413 on 539 degrees of freedom
## AIC: 44.413
##
## Number of Fisher Scoring iterations: 20library(caret)## Warning: package 'caret' was built under R version 4.3.1## Loading required package: latticelibrary(DescTools)## Warning: package 'DescTools' was built under R version 4.3.1##
## Attaching package: 'DescTools'## The following objects are masked from 'package:caret':
##
## MAE, RMSEBrierScore(fit)## [1] 0.005445021BrierScore(fit1)## [1] 0.00544456BrierScore(fit2)## [1] 0.005444066AIC và Deviance
Từ kết quả 3 mô hình hồi quy, ta có:
logit: AIC = 44.656 , Deviance = 32.656
probit: AIC = 44.518 , Deviance = 32.518
cloglog: AIC = 44.413, Deviance = 32.413
Kết quả cho thấy giá trị các chỉ số AIC, Deviance, BrierScore của mô hình Cloglog là nhỏ nhất. Vậy mô hình
Cloglog là phù hợp nhất.
---
title: "Bài tập về nhà"
author: "Thanh Hòa"
date: "2023-06-14"
output:
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    toc: true
    number_sections: yes
    toc_float:
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      highlight: kate
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---
# Bài tập về nhà tuần 1:

## Bộ số liệu
Dữ liệu được thu thập về thông tin giá cả thuê nhà . Tập dữ liệu chứa 545 hàng gồm 12 biến

##Giải thích ý nghĩa biến:
Price: Giá của ngôi nhà.
Area: Tổng diện tích của ngôi nhà tính bằng mét vuông.
Bedrooms: Số phòng ngủ trong nhà.
Bathrooms: Số lượng phòng tắm trong nhà.
Mainroad: Ngôi nhà có kết nối với đường chính hay không (yes/no).
Guestroom: Nhà có phòng cho khách không (Có/Không).
Basement: Nhà có tầng hầm hay không (Có/Không).
Hot water heating: Nhà có hệ thống đun nước nóng hay không (yes/no).
Airconditioning: Nhà có hệ thống điều hòa nhiệt độ hay không (yes/no).
Parking: Số lượng chỗ đậu xe có sẵn trong nhà.
Prefarea: Ngôi nhà có nằm trong khu vực ưa thích hay không (Có/Không).
Furnishing status: Tình trạng nội thất của căn nhà (Fully Furnished, Semi-Furnished, Unfurnished).
  
```{r}
library(readxl)
house <- read_xlsx("D:house.xlsx")
View(house)

```

# Bài tập về nhà tuần 2

Yêu cầu: Chọn 1 hoặc 2 biến định tính và 1 biến định lượng làm biến phụ thuộc để phân tích, giải thích lý do.


## Biến định tính 

Mainroad: Ngôi nhà có kết nối với đường chính hay không (yes/no).
Guestroom: Nhà có phòng cho khách không (yes/no).
Basement: Nhà có tầng hầm hay không (yes/no).
Hot water heating: Nhà có hệ thống đun nước nóng hay không (yes/no).
Airconditioning: Nhà có hệ thống điều hòa nhiệt độ hay không (yes/no).
Prefarea: Ngôi nhà có nằm trong khu vực ưa thích hay không (yes/no).
Furnishing status: Tình trạng nội thất của căn nhà (Fully Furnished, Semi-Furnished, Unfurnished).

## Biến định lượng 

Price: Giá của ngôi nhà.
Area: Tổng diện tích của ngôi nhà tính bằng mét vuông.
Bedrooms: Số phòng ngủ trong nhà.
Bathrooms: Số lượng phòng tắm trong nhà.
Parking: Số lượng chỗ đậu xe có sẵn trong nhà.

## Chọn biến định lượng 

Chọn biến Area: Tổng diện tích của ngôi nhà tính bằng mét vuông làm biến định lượng 

## Chọn biến định tính

Chọn biến price làm biến định tính mặc dù bản chất là biến định lượng. Ta mã hóa dữ liệu định lượng sang định tính. Vì biến price phụ thuộc vào các yếu tố còn lại để quyết định đến giá của căn nhà. 


# Bài tập về nhà tuần 3 - 4

Đề: Làm thống kê mô tả để phân tích cho ít nhất 5 biến (vừa định tính định lượng và có 2 

biến đã chọn ở câu 2), nhận xét về kết quả phân tích này.

### Thống kê mô tả các biến

- Biến Area

```{r}
summary(house$area)
```
Dựa vào kết quả thống kê mô tả, ta thấy diện tích căn nhà tính trên mét vuông khoảng từ [1650;16200]. Trung bình (mean) là 5151 mét vuông, 1st Qu. (first quartile) = 3600 có nghĩa là 25% đối tượng nghiên cứu có diện tích căn nhà là 3600 mét vuông. Tương tự, 3rd Qu.(Third quartile) = 6360 có nghĩa là 75% đối tượng nghiên cứu có diện tích căn nhà là 6360 mét vuông. Số trung vị (median) cũng có nghĩa là 50% đối tượng đối tượng nghiên cứu có diện tích căn nhà là 4600 mét vuông.

Bảng tần suất của biến area

```{r}
library(ggplot2)
table(cut(house$area,4))
```

Bảng tần suất của biến area theo tỷ lệ %

```{r}
table(cut(house$area,4))/sum(table(house$area))
```

Đồ thị cột của biến area

```{r}
 house|> ggplot(aes(area)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'lightgreen')
```

- Biến Price

```{r}
summary(house$price)
```

Dựa vào kết quả thống kê mô tả, ta thấy số lượng căn nhà có giá tiền nằm trong đoạn [1750000;13300000]. Trung bình (mean) là 4766729 . 1st Qu. (first quartile) = 3430000 có nghĩa là 25% số người có sở hữu căn nhà với giá tiền là 3430000. Tương tự, 3rd Qu.(Third quartile) = 5740000 có nghĩa là 75% số người có sở hữu căn nhà với giá tiền là 5740000. Số trung vị (median) cũng có nghĩa là 50% số người có sở hữu căn nhà với giá tiền là 4340000.

Bảng tần suất 

```{r}
table(cut(house$price,4))
```

Bảng tần suất của biến price theo tỷ lệ %

```{r}
table(cut(house$price,4))/sum(table(house$price))
```

Đồ thị cột của biến price

```{r}
house |> ggplot(aes(price)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'lightgreen')
```

- Biến mainroad

```{r}
table(house$mainroad)
```

Dựa vào kết quả thống kê mô tả, ta thấy có 77 căn nhà là không có kết nối với đường chính và 468 căn nhà có kết nối đường chính

Bảng tần suất của biến mainroad theo tỷ lệ %

```{r}
table(house$mainroad)/sum(table(house$mainroad))
```
Dựa vào kết quả thống kê mô tả, ta thấy có 14.13% căn nhà là không có kết nối với đường chính và 85.87% căn nhà có kết nối đường chính

Đồ thị cột của biến 
```{r}
house |> ggplot(aes(mainroad)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'lightgreen')
```

- Biến Hot water heating

```{r}
table(house$hotwaterheating)
```

Dựa vào kết quả thống kê mô tả, ta thấy số lượng căn nhà có máy nước nóng là 25 căn và số lượng căn nhà không có máy nước nóng là 520 căn

Bảng tần suất 

```{r}
table(house$hotwaterheating)/sum(table(house$hotwaterheating))
```
Dựa vào kết quả thống kê mô tả, ta thấy tỷ lệ căn nhà có máy nước nóng là 4.59%  và tỷ lệ căn nhà không có máy nước nóng là 95.41%

Bảng tần suất với tỷ lệ %

Đồ thị cột 

```{r}
house |> ggplot(aes(hotwaterheating)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'lightgreen')
```

- Biến bedrooms

Bảng tần suất 

```{r}
summary(house$bedrooms)
```
Dựa vào kết quả thống kê mô tả, ta thấy số lượng căn nhà có số phòng ngủ nằm trong đoạn [1;6]. Trung bình (mean) là 3 phòng . 1st Qu. (first quartile) = 2 có nghĩa 25% số lượng căn nhà có số phòng ngủ là 2 phòng. Tương tự, 3rd Qu.(Third quartile) = 3 có nghĩa 75% số lượng căn nhà có số phòng ngủ là 3 phòng. Số trung vị (median) cũng có nghĩa 50% số lượng căn nhà có số phòng ngủ là 3 phòng.

Bảng tần suất theo tỷ lệ %

```{r}
table(cut(house$bedrooms,4))/sum(table(house$bedrooms))
```

Đồ thị cột 

```{r}
house |> ggplot(aes(bedrooms)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'lightgreen')
```
- Biến bathrooms

Bảng tần suất 

```{r}
summary(house$bathrooms)
```
Dựa vào kết quả thống kê mô tả, ta thấy số lượng căn nhà có số phòng tắm nằm trong đoạn [1;4]. Trung bình (mean) là 1.268 phòng . 1st Qu. (first quartile) = 1 có nghĩa 25% số lượng căn nhà có số phòng tắm là 1 phòng. Tương tự, 3rd Qu.(Third quartile) = 2 có nghĩa 75% số lượng căn nhà có số phòng tắm là 2 phòng. Số trung vị (median) cũng có nghĩa 50% số lượng căn nhà có số phòng tắm là 1 phòng.

Bảng tần suất theo tỷ lệ %

```{r}
table(cut(house$bathrooms,4))/sum(table(house$bathrooms))
```
Đồ thị của biến

```{r}
house |> ggplot(aes(bathrooms)) + geom_bar(aes(y = (..count..)), color = 'black', fill = 'lightgreen')
```
## Thống kê mô tả 2 biến

### Biến Price và biến Area

```{r}
a <- table(house$price,house$area)
a
```


# BTVN Tuần 3 -4

Yêu cầu: Phân tích thống kê mô tả của 2 biến phụ thuộc ở câu 2 với 5 biến còn lại trong câu 3, nhận xét về kết quả phân tích này


## Thống kê mô tả 2 biến

### Biến Price và biến Area

```{r}
house1<-cut(house$price, breaks = c(1740000,4766729,13400000), labels = c("Thấp", "Cao"))
head(house1)
```
- Bảng tần số, tần suất

```{r}
a <- table(house$area, house1)
a
```
```{r}
aa <- prop.table(a)
addmargins(aa)
```
- Biểu đồ

```{r}
ggplot(house, aes(area, fill = house1)) + geom_bar(position = 'dodge')
```

###  Biến Price và biến mainroad

- Bảng tần số, tần suất

```{r}
b <- table(house$mainroad, house1)
b
```
```{r}
bb <- prop.table(b)
addmargins(bb)
```

- Đồ thị 

```{r}
ggplot(house, aes(mainroad, fill = house1)) + geom_bar(position = 'dodge')
```


### Biến Price và biến bedrooms

- Bảng tần số, bảng tần suất

```{r}
c <- table(house$bedrooms, house1)
c
```
```{r}
cc <- prop.table(c)
addmargins(cc)
```

- Đồ thị 

```{r}
ggplot(house, aes(bedrooms, fill = house1)) + geom_bar(position = 'dodge')
```

### Biến Price và biến Bathrooms

- Bảng tần số, bảng tần suất

```{r}
d <- table(house$bathrooms, house1)
d
```
```{r}
dd <- prop.table(d)
addmargins(dd)
```
- Đồ thị

```{r}
ggplot(house, aes(bathrooms, fill = house1)) + geom_bar(position = 'dodge')
```

### Biến Price và biến Hot water heating

- Bảng tần số, bảng tần suất

```{r}
e <- table(house$hotwaterheating, house1)
e
```
```{r}
ee <- prop.table(e)
addmargins(ee)
```
- Đồ thị

```{r}
ggplot(house, aes(hotwaterheating, fill = house1)) + geom_bar(position = 'dodge')
```
# Bài tập về nhà tuần 3 - 4

Kiểm định tính độc lập của từng biến

## Biến Price và biến Area

Giả thuyết:

H0: Biến price và biến area độc lập với nhau

H1: Biến price và biến area không độc lập với nhau


```{r}
gil <- table (house$price, house$area)
gil
```


```{r}
chisq.test(gil)
```
Vì p_value = 1 > 0.05 nên ta chấp nhận giả thuyết H0. Nghĩa là  Biến price và biến area độc lập với nhau

## Biến Price và biến mainroad

Giả thuyết:

H0: Biến price và biến mainroad độc lập với nhau

H1: Biến price và biến mainroad không độc lập với nhau

```{r}
gil <- table (house$price, house$mainroad)
gil
```

```{r}
chisq.test(gil)
```
Vì p_value = 0.1131 > 0.05 nên ta chấp nhận giả thuyết H0. Nghĩa là Biến price và biến mainroad độc lập với nhau

## Biến Price và biến bedrooms

Giả thuyết:

H0: Biến price và biến bedrooms độc lập với nhau

H1: Biến price và biến bedrooms không độc lập với nhau

```{r}
gil <- table (house$price, house$bedrooms)
gil
```

```{r}
chisq.test(gil)
```
Vì p_value = 0.9751 > 0.05 nên ta chấp nhận giả thuyết H0. Nghĩa là Biến price và biến bedrooms độc lập với nhau

## Biến price và biến bathrooms

Giả thuyết:

H0: Biến price và biến bathrooms độc lập với nhau

H1: Biến price và biến bathrooms không độc lập với nhau

```{r}
gil <- table (house$price, house$bathrooms)
gil
```
```{r}
chisq.test(gil)
```
Vì p_value = 1.68e-12 < 0.05 nên ta bác bỏ giả thuyết H0. Nghĩa là Biến price và biến bathrooms không độc lập với nhau

## Biến price và biến Hot water heating

Giả thuyết:

H0: Biến price và biến Hot water heating độc lập với nhau

H1: Biến price và biến Hot water heating không độc lập với nhau
}
```{r}
gil <- table (house$price, house$hotwaterheating)
gil
```

```{r}
chisq.test(gil)
```
Vì p_value = 0.202 > 0.05 nên ta chấp nhận giả thuyết H0. Nghĩa là Biến price và biến Hot water heating độc lập với nhau


# Bài tập về nhà tuần 5 - 6

## Mô hình hồi quy

###  Ước lượng mô hình hàm hồi quy 

- Mô hình hồi quy logistic

```{r}
fit <- glm(factor (price) ~ house$area + house$mainroad + house$hotwaterheating + house$bedrooms + house$bathrooms, family = binomial(link = "logit"), data = house)
summary(fit)
```
- Mô hình hồi quy probit

```{r}
fit1 <- glm(factor (price) ~ house$area + house$mainroad + house$hotwaterheating + house$bedrooms + house$bathrooms, family = binomial(link = "probit"), data = house)
summary(fit1)
```

- Mô hình hồi quy Cloglog

```{r}
fit2 <- glm(factor(price) ~ house$area + house$mainroad + house$hotwaterheating + house$bedrooms + house$bathrooms, family = binomial(link = "cloglog"), data = house)
summary(fit2)
```
```{r}
library(caret)
```


```{r}
library(DescTools)
```

```{r}
BrierScore(fit)
```

```{r}
BrierScore(fit1)
```

```{r}
BrierScore(fit2)
```

AIC và Deviance

Từ kết quả 3 mô hình hồi quy, ta có:

logit: AIC = 44.656 , Deviance = 32.656

probit: AIC = 44.518 , Deviance = 32.518

cloglog: AIC = 44.413, Deviance = 32.413

Kết quả cho thấy giá trị các chỉ số AIC, Deviance, BrierScore của mô hình Cloglog là nhỏ nhất. Vậy mô hình 

Cloglog là phù hợp nhất.


