First, run the following code in the R Console. The update function takes an existing fitted model and

updates it. The notation . ~ . + var means keep the existing response and regressors but add var to the

model.

# fit model with an intercept

lmod1

summary(lmod1)$r.squared

# fit model with an intercept and lcavol

lmod2

summary(lmod2)$r.squared

# fit model with an intercept, lcavol, and lweight

lmod3

summary(lmod3)$r.squared

# fit model with an intercept, lcavol, lweight, and age

lmod4

summary(lmod4)$r.squared

lmod5

summary(lmod5)$r.squared

lmod6

summary(lmod6)$r.squared

lmod7

summary(lmod7)$r.squared

lmod8

summary(lmod8)$r.squared

lmod9

summary(lmod9)$r.squared

(a)

Complete a table with the results from the code above with the following format. Replace x with the R2

value from the fitted model.