TUGAS 1-Dataset 1

data=read.table(file.choose(),header=TRUE) 
data

##      Y  X1   X2   X3
## 1 57.5  78 2.75 29.5
## 2 52.8  69 2.15 26.3
## 3 61.3  77 4.41 32.2
## 4 67.0  88 5.52 36.5
## 5 53.5  67 3.21 27.2
## 6 62.7  80 4.32 27.7
## 7 56.2  74 2.31 28.3
## 8 68.5  94 4.30 30.3
## 9 69.2 102 3.71 28.7

#NOMOR 1a
library(ggplot2)

ggplot(data, aes(x = X1, y = Y)) + 
  geom_point(color = "blue", size = 3) + 
  geom_smooth(method = "lm", color = "orange", se = TRUE, linewidth = 1.5) +
  labs(title = "Scatter Plot X1 dan Y",
       x = "X1",
       y = "Y") + 
  theme_minimal() +
 scale_x_continuous(breaks=seq(65,105, by=2)) +
  scale_y_continuous(breaks=seq(50,75, by=2))

## `geom_smooth()` using formula = 'y ~ x'

#NOMOR 1b
library(ggplot2)

ggplot(data, aes(x = X2, y = Y)) + 
  geom_point(color = "blue", size = 3) + 
  geom_smooth(method = "lm", color = "orange", se = TRUE, linewidth = 1.5) +
  labs(title = "Scatter Plot X2 dan Y",
       x = "X2",
       y = "Y") + 
  theme_minimal() +
 scale_x_continuous(breaks=seq(2, 6, by = 0.25)) +
  scale_y_continuous(breaks=seq(50,75, by=2))

## `geom_smooth()` using formula = 'y ~ x'

#NOMOR 1c
library(ggplot2)

ggplot(data, aes(x = X3, y = Y)) + 
  geom_point(color = "blue", size = 3) + 
  geom_smooth(method = "lm", color = "orange", se = TRUE, linewidth = 1.5) +
  labs(title = "Scatter Plot X3 dan Y",
       x = "X3",
       y = "Y") + 
  theme_minimal() +
 scale_x_continuous(breaks=seq(25,36, by = 1)) +
  scale_y_continuous(breaks=seq(50,75, by=2))

## `geom_smooth()` using formula = 'y ~ x'