Interpret the following regression results. All of the variables are the same as in number 2. These results are produced with a regression program instead of the GLM-univariate ANOVA program.
a. What do you notice when the results are compared to those in number 2? Comment.
b. List the independent variables in order from greatest to least in terms of how strong the relationship is with performance.
c. When might one prefer to use an ANOVA program instead of a multiple regressionprogram?

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The SAS Syatem 21:07 Nednesday, April 22, 2009 The REG Procedure Model: NODELI Dependent Varlable: performance Number of observationa Read 40 Number of observations Used 40 Analysia of Variance Sum of Mean Square Value 13.B7 Source DF Square Pr F Model Error Corrected Total 3 36 39 173.63814 150.23410 323.87225 57.87938 s.0001 4.17317 Root MSE Dependent Mean Coeff Var 2.04283 81.23468 2.51473 R-Square Adj R-Sg 0.5361 0.4975 Paraneter Eatimates Standard Standardized Eatimate Parameter Variable Label DF 2stimate t Value Prt| Error Intercept dummy Sales Experience Experience 1 Intercept dummy Sales 1 72.68459 3.80621 I 0.00038324 0.02829 2.88092 0-66442 0.00016507 0.03866 25.23 5.73 2.32 0.73 <.0001 .0001 0.0260 0.4689 0.66546 0.26578 0.08475