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In the Accompanying Table, We Give the Smallest SSE for Each

Question 17

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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, x1x _ { 1 } =% tricalcium aluminate, x2x _ { 2 } = % tricalcium silicate, x3x _ { 3 } = % aluminum ferrate, and x4x _ { 4 } = % dicalcium silicate.  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,  x _ { 1 }  =% tricalcium aluminate,  x _ { 2 }  = % tricalcium silicate,  x _ { 3 }  = % aluminum ferrate, and  x _ { 4 }  = % dicalcium silicate.   In addition, n=13, and SST=2715.16.  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. In addition, n=13, and SST=2715.16.
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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