Question

1. R has many build-in dataset. The data mtcars is one of them. The following R code read-in data and save the data to input.

                  input <- mtcars[,c("am","cyl","hp","wt")]

             Write a few line of R code to conduct a regression analysis with am as the response variable, and

             cyl, hp, wt as explanation variables.

Answer 1

The whole data contained mtcars is,we take subset of whole data using command,

input <- mtcars[,c("am","cyl","hp","wt")]

we want to take am as response variable and others are explanation variables then we use commands

a=lm(am~cyl+hp+wt,data=input) #linear model command am as response and other are explanation variables

summary(a) #this gives anova table and other neccessary outputs

code:-

>mtcars

> input <- mtcars[,c("am","cyl","hp","wt")]
> input
> a=lm(am~cyl+hp+wt,data=input)
> summary(a)

result:- If p-value < alpha then we reject Ho.