(d) Perform "backward selection" manually using = 0:05 as a threshold. That is, do not

utilize any built-in R function to perform the selections for you. Provide commentary

and R code (set eval = FALSE in codechunk to reduce paper usage) for each step.

Here is my current R code:

beer

data(beer) plot(beer) attach(beer) multilm

8. Using the same data set as the previous question, fit a multiple linear regression model with price as the response using all available variables (except for name) as predictors. (a) Provide the summary R output. b) Write up the estimated equation of a line. Use the variable names rather than .. . . . etc. (c) Interpret the coefficient for the variable bitter (d) Perform . backward selection" manually using -0.05 as a threshold. That is, do not utilize any buil-in R function to perform the selections for you. Provide commentary and R code (set eval FALSE in codechunk to reduce paper usage) for cach step