Data for Exercises 2.1, 2.26, 2.35 and 2.51
Aptitude
A data frame/tibble with 8 observations on two variables
aptitude test scores
productivity scores
Kitchens, L. J. (2003) Basic Statistics and Data Analysis. Pacific Grove, CA: Brooks/Cole, a division of Thomson Learning.
plot(product ~ aptitude, data = Aptitude, main = "Exercise 2.1")
model1 <- lm(product ~ aptitude, data = Aptitude)
model1
#>
#> Call:
#> lm(formula = product ~ aptitude, data = Aptitude)
#>
#> Coefficients:
#> (Intercept) aptitude
#> 12.443 1.207
#>
abline(model1, col = "red", lwd=3)
resid(model1)
#> 1 2 3 4 5 6 7
#> -0.3033333 2.0433333 0.8700000 -2.3700000 3.4233333 -2.1966667 -1.9233333
#> 8
#> 0.4566667
fitted(model1)
#> 1 2 3 4 5 6 7 8
#> 23.30333 32.95667 28.13000 35.37000 36.57667 40.19667 26.92333 30.54333
cor(Aptitude$product, Aptitude$aptitude)
#> [1] 0.9356161