Using the Boston dataset:

Questions

• Create a model with medv as the response and lstat, zn, nox and ptratio as the predictors and store it in lm.fit1
• Use the summary() function to see which of the predictors are significant and which ones are not. Then remove the predictors that are not significant (p > 0.05) and store the model in lm.fit2

Assume that:

• The MASS library has been loaded
• The Boston dataset has been loaded and attached