A financial planner wishes to estimate a multiple linear regression model for the annual rate of return to investors (TRI, %) and two independent variables, the annual revenue growth rate (RG, %) and the annual operating margin growth rate (OMG, %). She collects data on 50 randomly selected companies listed on the Australian Stock Exchange and estimates the following model:

TRI, = B + BRG + B.OMG, + 8,TRI RG OMG median 45 . 843 49 . 416 16.936 mean 45 . 490 48. 718 16.897 SE . mean 0. 672 2.425 1.211 CI . mean . 0.95 1. 350 4.872 2. 434 var 22. 553 293.928 73.327 std . dev 4. 749 17 .144 8. 563 coef. var 0 . 104 0. 352 0. 507 skewness -0. 581 0. 187 0. 050 skew. 2SE -0. 863 0. 277 0. 074 kurtosis 0. 579 -0. 834 -0.305 kurt . 2SE 0. 437 -0. 630 -0. 230 normtest . W 0. 975 0. 965 0.985 normtest . p 0. 350 0. 143 0. 752Call : 1m(formula = TRI ~ RG + OMG) Residuals : Min 1Q Median 3Q Max -5. 4426 -1. 9616 0.0441 1.9246 6.2190 Coefficients : Estimate Std. Error t value Pr(>|t|) (Intercept) 32. 13287 1. 32334 24.282