In the accompanying table, we give the smallest SSE for each number of predictors k (k =...

In the accompanying table, we give the smallest SSE for each number of predictors k (k = 1, 2, 3, 4)for a regression problem in which y = cumulative heat of hardening in cement, x₁ = % tricalcium aluminate, x₂ = % tricalcium silicate, x₃ = % aluminum ferrate, and x₄ = % dicalcium silicate.

In addition, n = 13 and SST = 2715.76.

a. Use the criteria discussed in the text to recommend the use of a particular regression model.

b. Would forward selection result in the best two-predictor model? Explain.