Consider the following computer output (a) Fill in the missing quantities You may use bounds for the P values (b) What conclusions can you draw about the significance of regression (c) What conclusions can you draw about the contributions of the individual regressors to the model The regression equation is Y 254 2 77 x1 3 58 x2 Predictor Coef SE Coef T Constant 253 810 4 781 1 2 7738 0 1846 15 02 3 5753 2 0 1526 S 5 05756 R Sq R Sq (adj) 98 4 Analysis of Variance Source DF MS Regression 22784 11392 Residual error Total 14 23091 2

Question: Consider the following computer output. (a) Fill in the missing quantities. You may use bounds for the P-values. (b) What conclusions can you draw about

Consider the following computer output.

The regression equation is Y = 254 + 2.77 x1 – 3.58 x2 Predictor Coef SE Coef T Constant 253.810 4.781 х1 2.7738 0.18

(a) Fill in the missing quantities. You may use bounds for the P-values.

(b) What conclusions can you draw about the significance of regression?

The regression equation is Y = 254 + 2.77 x1 3.58 x2 Predictor Coef SE Coef T Constant 253.810 4.781 1 2.7738 0.1846 15.02 ? -3.5753 2 0.1526 S= 5.05756 R-Sq = ? R-Sq (adj) = 98.4% Analysis of Variance Source DF MS Regression 22784 11392 ? Residual error ? ? Total 14 23091 2.

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