Answers to Assignment 2: /* raw regression weights */ X1 .6770817 X2 .393441 _cons .1025527 /* vector of predicted scores */ 3.03048 3.03048 2.353398 1.959957 4.494443 5.171525 4.668284 5.061725 6.022447 5.345366 4.778084 4.101003 7.706011 7.312571 7.879852 8.950375 8.840574 8.163492 5.564966 5.564966 /* vector of residual scores */ -1.03048 -2.03048 -1.353398 -.9599573 .5055565 -1.171525 2.331716 .9382751 .9775528 2.654634 -1.778084 -1.101003 -1.706011 -1.31257 2.120148 .0496255 -2.840574 -2.163492 3.435034 4.435034 /* R-squred */ 0.5054 /* F-ratio */ 8.69 /* bonus items */ regress y x1 x2 Source | SS df MS Number of obs = 20 -------------+------------------------------ F( 2, 17) = 8.69 Model | 83.3909043 2 41.6954522 Prob > F = 0.0025 Residual | 81.6090957 17 4.80053504 R-squared = 0.5054 -------------+------------------------------ Adj R-squared = 0.4472 Total | 165 19 8.68421053 Root MSE = 2.191 ------------------------------------------------------------------------------ y | Coef. Std. Err. t P>|t| [95% Conf. Interval] -------------+---------------------------------------------------------------- x1 | .6770817 .1953009 3.47 0.003 .2650328 1.089131 x2 | .393441 .2948695 1.33 0.200 -.2286792 1.015561 _cons | .1025527 1.660174 0.06 0.951 -3.400108 3.605214 ------------------------------------------------------------------------------