Question: QUESTION 8 1 points Save Answer If you were to refine your model, what would you elminate from the regression input? (Select one) O A.

QUESTION 8 1 points Save Answer If you were to

QUESTION 8 1 points Save Answer If you were to refine your model, what would you elminate from the regression input? (Select one) O A. Intercept O B. Carat O C. Color O D. Clarity O E. Cut OF. None of the above. Diamond Buyer's Guide Y=f(x1,x2,x3,x4)=b0+b1*x1+b2*x2+b3*x3+b4*x4 Carat Color Clarity Cut Price 0.3 6 2 2 SUMMARY OUTPUT $511.00 $781.00 0.3 2 5 1 1.5 x1 0.3 1 5 1 $839.00 2 x2 1.5 carat color E VS1 Good 1.8 carats color F VS2 Very Good 0.3 3 2 1 $971.00 0.3 2.7 x1 3 x2 5 x3 2 x4 43248.95926 2 2 1 Regression Statistics Multiple R 0.923187291 R Square 0.852274774 Adjusted R Square 0.822729729 Standard Error 9708.488507 Observations 25 $1,130.00 4 x3 3 x4 44035.80633 0.5 2 7 1 $1,263.00 0.5 1 1 $1,604.00 0.5 2 5 1 $1,844.00 0.5 4 3 1 $2,026.00 0.5 2 3 1 $2,714.00 ANOVA 1 5 4 1 $5,899.00 df F Significance F 28.84662276 4.71312E-08 1 5 3 1 $6,445.00 4 SS MS 10875724760 2.72E+09 1885094982 94254749 12760819742 1.01 4 5 1 Regression Residual Total $6,892.00 20 24 1.01 4 4 1 $7,308.00 1.01 1 1 1 $17,716.00 2 8 7 2 $8,620.00 2 8 5 2 $10,264.00 2 6 6 1 $11,751.00 $16,092.00 Coefficients 7997.001988 16186.75295 -3827.885433 -4247.821399 12135.24379 Standard Error t t Stat 8117.445989 0.985162 3122.033727 5.184682 958.8644921 -3.9921 1208.816552 3.51403 5034.549558 2.410393 2 P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% 0.336313303 -8935.693631 24929.69761-8935.693631 24929.69761 4.50206E-05 9674.304719 22699.20119 9674.304719 22699.20119 0.000716635 -5828,041714 -1827.72915 -5828.041714 -1827.729151 0.002183014 -6769.36854 -1726.27426 -6769.36854 -1726.274257 0.025680371 1633.357439 22637.13014 1633.357439 22637.13014 2 Nannamme bo Intercept bi Carat b2 Color b3 Clarity 14 Cut 7 2 2 2 2 4 2 $27.080.00 3 8 7 1 $14,305.00 3 7 6 2 $17,905.00 3.01 4 6 2 $29,396.00 3 3 5 2 $42,881.00 $112,079.00 3.01 1 1 3 RESIDUAL OUTPUT RESIDUAL OUTPUT Observation 20 19 23 15 22 5 24 1 10 4 17 3 9 12 8 7 14 16 2 11 21 13 18 6 25 Predicted Price 39993.93902 27250.47482 40191.14584 28405. 15943 28545.62201 8836.858003 48104.98514 5660.560064 7826.387195 5008.97257 12778.80502 -78.7207604 170.6163299 4436.107374 -669.2556022 -1089.191568 4178.038938 4283.162227 -3906.606193 188.2859756 8334.67139 -69.7824609 4051.5107 -9164.8984 85049.15292 Residuals -12913.93902 -11158.47482 -10795.14584 -10689.15943 -10640.62201 -7706.858003 -5223.985142 -5149.560064 -5112.387195 -4037.97257 -2514.805025 917.7207604 1855.38367 2008.892626 2513.255602 2693.191568 3129.961062 4336.837773 4687.606193 5710.714024 5970.32861 6961.782461 7699.4893 10427.8984 27029.84708 2

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