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In: Statistics and Probability

Install and load the dataset named Carseats (in the ISLR package) into R. Run a multiple...

Install and load the dataset named Carseats (in the ISLR package) into R.
Run a multiple linear regression with all the variables.
Using the coefficients, write down the model.
( be careful with the qualitative variable ShelveLoc. )
obtain the interaction plot of ShelveLoc and price.

Solutions

Expert Solution

> library(ISLR)

> d=Carseats
> head(d)
>model=lm(Sales~CompPrice+Income+Advertising+Population+Price+ShelveLoc+Age+Education+Urban+ US)
> model

Call:
lm(formula = Sales ~ CompPrice + Income + Advertising + Population +
Price + ShelveLoc + Age + Education + Urban + US)

Coefficients:
(Intercept) CompPrice Income Advertising Population Price ShelveLocGood ShelveLocMedium Age
5.6606231 0.0928153 0.0158028 0.1230951 0.0002079 -0.0953579 4.8501827 1.9567148 -0.04605
Education UrbanYes USYes
-0.0211018 0.1228864 -0.1840928

Model

Sales=5.6606231+0.0928153CompPrice + 0.0158028Income + 0.1230951Advertising +0.0002079 Population -0.0953579
Price + 4.8501827ShelveLocGood +1.9567148 ShelveLocMedium-0.04605Age -0.0211018 Education + 0.1228864UrbanYes -0.1840928 USYes

# interaction plot of ShelveLoc and price.

interaction.plot(ShelveLoc,Price,Sales)

orchestra answered 2 years ago
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