Analyze and interpret the effect of explanatory variables on the milk intake (dl.milk) in the kfm data set (ISwR) using a multiple regression model. Test by using = .05. 1) Run regression for dl.milk on all other variables. Do you find any significance that milk intake can be explained by other variables? 2) Find regression models in which fewer explanation variables should be used. i.e., select a subset of variables so that a better fit can be achieved.

Can you write the code in R?