During its manufacture, a product is subjected to four different tests, each giving a score of 200 to 800. An efficiency expert claims the fourth test to be unnecessary since its results can be predicted based on the first three. The following Minitab printout is an analysis of scores received by a sample of 12 units subjected to all four tests.

a. Interpret the multiple regression equation.
b. An individual unit from the assembly area receives ratings of 350, 400, and 600 on the first three tests. Using the estimation equation in the printout, what is the unit€™s estimated score on test 4?

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Regressin Analysis The regression equation is TEST04 12.0 + 0.274 TESTO1 + 0.376 TESTO2 + 0.326 TESTO 3 Coef 11.98 0.2745 0.37619 0.32648 StDev 80.50 Predictor Constant TEST01 TESTO2 TEST03 0.15 0.885 2.47 0.039 3.82 0.005 4.04 0.004 0.09858 0.08084 R-Sq 87.2% R-Sq(adj) 82.4% Analysis of Variance 1 Regression 3 Error Total 151417 22231 173648 50472 2779 18.16 0.00 8