Layout References Mailings Review View Help SUMMARY OUTPUT 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 91 10 ANOVA 11 SS MS Significance F 12 Regression 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 95% 17 Intercept 52.74841127 6.982846974 7.55399788 1.6212E-12 38.9763689 66.52045364 18 previous 0.703533477 0.050988627 13.7978511 1.26685-30 0.602970264 0.804096689 19 protein 5.619238353 1.467647562 -3.8287382 0.00017375 1-8.51383199 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 \\yhat-ybar Sregression 28 33.72933397 11.27066603 127.027913 45 -19.82 392.8324 -31.090666 966.6295139 29 2 89.41952719 -3.419527189 11.6931662 86 21.18 448.5924 24 5995272 605.1367379 30 64.65424533 -14.65424593 214.746906 50 -14.82 219.6324 -0.16575467 0.027474611 31 58.46405421 16,46405421 271.065081 42 -22-82 520.7524 -6.35594579 40.39804683 32 73.26291787 12.26291787 150.379155 61 -3.82 14 5924 8.44291787 71.28286224 33 99.89031409 -6,890314091 47.4764283 93 28.18 794.11241 35.0703141 \\\\1229.92693 34 100.6991876 -9.69918756 94,0742393 91 26.18 685.3924 35.8791876 1287.3161 35 98.30988151 -8.309881506 69.0541306 90 25.18 634.0324 33.4898815 1121.572163 36 68.90760039 -15.90760039 253.05175 53 -11.82 139.7124 4.08760039 9 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 (G) All other factors being equal, is a cow that last gave milk less than or equal to 79 days ago, expected to produce more or less milk than a cow who last gave milk more than 79 days ago? Explain your answer in terms of your regression equation. (8 points) H