Let us use the HR database dowloaded from kaggle page.
An description of the database is also available.

rm(list=ls())
adot <- read.csv("data/HRDataset_v14.csv")
smetny_kos <- attach(adot)
head(adot)
NA

Now, I want to make some experimental regression

attach(adot)
fit <- lm(Salary ~ +1 + Absences + EmpSatisfaction, data=adot)


library(broom)
library(knitr)

# fit linear regression model


# extract coefficients and standard errors
tidy_fit <- tidy(fit)

# create kable table
kable(tidy_fit, caption = "Summary of linear regression model")
Summary of linear regression model
term estimate std.error statistic p.value
(Intercept) 59464.5707 6591.0625 9.0220007 0.0000000
Absences 335.7299 244.3873 1.3737619 0.1705146
EmpSatisfaction 1572.7169 1573.0701 0.9997755 0.3182040
NA
NA
NA
NA
NA
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