Ödev 1

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library(wooldridge)
data("ceosal1")

library(rmarkdown)
paged_table(ceosal1)

mean(ceosal1$salary)

## [1] 1281.12

min(ceosal1$salary)

## [1] 223

max(ceosal1$salary)

## [1] 14822

mean(ceosal1$roe)

## [1] 17.18421

min(ceosal1$roe)

## [1] 0.5

max(ceosal1$roe)

## [1] 56.3

mean(ceosal1$salary)

## [1] 1281.12

min(ceosal1$salary)

## [1] 223

max(ceosal1$salary)

## [1] 14822

mean(ceosal1$roe)

## [1] 17.18421

min(ceosal1$roe)

## [1] 0.5

max(ceosal1$roe)

## [1] 56.3

lm(salary ~ roe, data = ceosal1)

## 
## Call:
## lm(formula = salary ~ roe, data = ceosal1)
## 
## Coefficients:
## (Intercept)          roe  
##       963.2         18.5

data(wage1)

mean(wage1$wage)

## [1] 5.896103

lm(wage1$wage ~ wage1$educ)

## 
## Call:
## lm(formula = wage1$wage ~ wage1$educ)
## 
## Coefficients:
## (Intercept)   wage1$educ  
##     -0.9049       0.5414

data(vote1)
lm(vote1$voteA ~ vote1$shareA)

## 
## Call:
## lm(formula = vote1$voteA ~ vote1$shareA)
## 
## Coefficients:
##  (Intercept)  vote1$shareA  
##      26.8122        0.4638

roe_15 <- ceosal1$roe[1:15]
roe_15

##  [1] 14.1 10.9 23.5  5.9 13.8 20.0 16.4 16.3 10.5 26.3 25.9 26.8 14.8 22.3 56.3

salary_15 <- ceosal1$salary[1:15]
salary_15

##  [1] 1095 1001 1122  578 1368 1145 1078 1094 1237  833  567  933 1339  937 2011

Tablo2_2 <- cbind(roe_15, salary_15)
Tablo2_2

##       roe_15 salary_15
##  [1,]   14.1      1095
##  [2,]   10.9      1001
##  [3,]   23.5      1122
##  [4,]    5.9       578
##  [5,]   13.8      1368
##  [6,]   20.0      1145
##  [7,]   16.4      1078
##  [8,]   16.3      1094
##  [9,]   10.5      1237
## [10,]   26.3       833
## [11,]   25.9       567
## [12,]   26.8       933
## [13,]   14.8      1339
## [14,]   22.3       937
## [15,]   56.3      2011

salaryhat <- 963.191 + 18.501 * roe_15 

uhat <- salary_15 - salaryhat

Tablo2_2 <- cbind(roe_15, salary_15, salaryhat, uhat)

Tablo2_2 

##       roe_15 salary_15 salaryhat        uhat
##  [1,]   14.1      1095  1224.055 -129.055107
##  [2,]   10.9      1001  1164.852 -163.851893
##  [3,]   23.5      1122  1397.965 -275.964500
##  [4,]    5.9       578  1072.347 -494.346902
##  [5,]   13.8      1368  1218.505  149.495196
##  [6,]   20.0      1145  1333.211 -188.211000
##  [7,]   16.4      1078  1266.607 -188.607393
##  [8,]   16.3      1094  1264.757 -170.757286
##  [9,]   10.5      1237  1157.452   79.548500
## [10,]   26.3       833  1449.767 -616.767286
## [11,]   25.9       567  1442.367 -875.366893
## [12,]   26.8       933  1459.018 -526.017786
## [13,]   14.8      1339  1237.006  101.994196
## [14,]   22.3       937  1375.763 -438.763286
## [15,]   56.3      2011  2004.797    6.202714