Multiple linear regression

Help using R creating a linear regression to model how the number of calories in one portion of cereal depends on various variables. The data set for the regression isUScerealfrom the packageMASS. To access the data set, load the packageMASSand simply typeUScerealin the console.

you can get the data from:

> library(MASS)

> data = UScereal

Model: calories=0+1protein+2fat+3fibre+4carbo+5sugars+.

help answer 1-3:

1. Using thesummaryoutput as well as the diagnostic plots, explain what potential problems with this model are and how they might affect the model (list at least three potential problems and how they might affect the model).

The possible problems are:

• correlation of error terms,
• homoskedasticity,
• outliers,
• high leverage points,
• collinearity.

choose at least 3 of them that potentially become problems in this model.