In the accompanying table, we give the smallest SSE for each number of predictors for a regression
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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.
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Probability And Statistics For Engineering And The Sciences
ISBN: 9781133169345
8th Edition
Authors: Jay L Devore, Roger Ellsbury
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