In the accompanying table, we give the smallest SSE for each number of predictors for a regression

Question:

In the accompanying table, we give the smallest SSE for each number of predictors for a regression problem in which heat of hardening in cement, tricalcium aluminate, tricalcium silicate, aluminum ferrate, and dicalcium silicate.

Number of Predictors k Predictor(s) SSE 1 x4 880.85 2 x1, x2 58.01 3 x1, x2, x3 49.20 4 x1, x2, x3, x4 47.86 In addition, and .

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.

Fantastic news! We've Found the answer you've been seeking!

Step by Step Answer:

Related Book For  book-img-for-question
Question Posted: