Refer to Exercise 5. a. Is the multiple regression equation useful for prediction? Explain. Use the = 0.05 level. b. Is the multiple regression

Refer to Exercise 5.

a. Is the multiple regression equation useful for prediction? Explain. Use the

α = 0.05 level.

b. Is the multiple regression equation useful for prediction? Explain. Use the

α = 0.01 level.

Exercise 5

The following MINITAB output presents a multiple regression equation.

The regression equation is Y5.3296 +3.6204 X1 + 1.5721 X2 +2.3328 X3 Predictor Coef SE Coef T P Constant 5.3296 1.5051 3.5410 0.000 X1 3.6204 1.2845 2.8186 0.010 X2 1.5721 1.3634 1.1531 0.261 X3 2.3328 1.4494 1.6095 0.122 S = 7.4857 R-Sq = 32.6% R-Sq (adj) 23.3% = Analysis of Variance. Source DF SS MS F P Regression 3 595.14 198.38 3.5402 0.031 Residual Error 22 1232.8 56.036 Total 25 1827.9