A business school dean wanted to assess the importance of factors that might help in predicting success in law school. For a random sample of 50 students, data were obtained when students graduated from law school, and the following model was fitted:
y = α + β1x1 + β2x2 + β3x3 + ε
where
y = score reflecting overall performance while in law school
x1 = undergraduate grade point average
x2 = score on GMAT
x3 = dummy variable taking the value 1 if a student€™s letters of recommendation are unusually strong and 0 otherwise
Use the portion of the computer output from the estimated regression shown here to write a report summarizing the findings of this study.

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Sum of Mean Source Model Error DF res are Value re 641.04 212.68 1,159.66 25.21 8.48 0.356 46 Total 49 1,800.70 f for Ho Std. Error of Estimate Parameter Estimate 6.512 3.502 0.491 10.327 1.45 4.59 2.45 2.419 0.107 4.213 X2 X3