(D) In the full model Residual Output Table of Excel, explain how each value was calculated for the eight columns pertaining to Observation #1. The cow's six predictor variables were: (10 points) previous fat protein days lactation 179 45 5.50 8.90 21 5 0 1 SUMMARY OUTPUT 2 3 Regression Statistics 4 Multiple R 0,81297638 5 R Square 0.660930595 6 Adjusted R Square 0.653939473 7 Standard Error 10.66478616 8 Observations 199 9 10 ANOVA 11 of MS Significance F 12 Regression 4 43010,38063 10752.5952 94.5385617 1.785026-44 13 Residual 194 22065.1068 113.737664 14 Total 198 65075,48744 15 16 Coefficients Standard Error t Stat P-value Lower 95% Upper 956 17 Intercept 52.74841127 6.982846974 7.55399788 1.6212E-12 38.9763689 66.52045364 18 previous 0.703533477 0.050988627 13.7978511 1.2668E-30 0.602970264 0.804096689 19 protein -5.619238353 1.467647562 -3.8287382 0.00017375 -8.51383199 -2.72464472 20 days -0.031755454 0.015311193 -2.0740026 0.03939943 -0.061953223 -0.00155769 21 179 -10.77753193 2.778152126 -3,8793887 0.00014337 16.25679117 -5.2982727 22 23 24 25 RESIDUAL OUTPUT 26 27 Observation Predicted currentmilk Residuals SSresiduals currentmilk y-ybar sstotal \\what-ybar |SSregression 28 33.72933397 11.27066603 127.027913 45 -19.82 392 8324 -31.090666 966.6295139 29 89.41952719 -3.419527189 11.6931662 86 21.18 448 5924 24 5995272 605 1367379. 30 64,65424533 -14.65424533 214.746906 50 -14.82 219.6324 -0.16575467 0.027474611 58,46405421 16,46405421 271.065081 42 -22.82 520.7524 -6.35594579 40.39804683 73.26291787 -12.26291787 150.379155 61 -3.82 14.5924 8 44291787 71.28286224 99.89031409 6.890314091 47.4764283 93 28.18 794.1124 35.0708141 1229.92693 100.6991876 -9.69918756 94.0742393 91 26.18 685.3924 35.8791876 1287.3161 8 98,30988151 -8.309881506 69.0541306 90 25.18 634.0324 33.4898815 1 1121.572163 68.90760039 -15,90760039 253.05175 53 -11.82 139.7124 1 4.08760039 16.70847696 10 91.71396429 7.71396429 59.5052451 84 19.18 367-8724 26.8939643 723.2853152 11 47.15447872 22.84552128 521.917843 70 5.18 26.8324 -17.6655213 312.0706422