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Question: d perform quotbackward selectionquot manually using 005 as a...

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(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.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 Λι.Λ. . . . etc. (c) Interpret the coefficient for the variable bitter (d) Perform . backward selection manually using α-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.

Here is my current R code:

beer <- read.csv(file="beer.csv",header=TRUE, sep = ",")

data(beer)
plot(beer)
attach(beer)
multilm <- lm(bitter ~ price + qlty + cal + alc + malty, data=beer)
summary(multilm)

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