Profit Nonfood Sales Store Size (thousands Food Sales (tens (tens of (thousands of Supermarket of dollars) of thousans thousands of square feet) Number Y of dollars) X1 dollars) X2 X3 1 20 305 35 35 2 15 129 98 20 3 17 189 83 27 4 9 175 76 16 5 16 101 93 28 6 27 269 77 46 35 425 44 58 8 7 195 47 12 9 22 282 31 40 10 23 203 92 32SUMMARY OUTPUT Regression Statistics Multiple R 0.990601 R Square 0.98129 Y = -8.43 + 0.024X1 + 0.092X2 + 0.499X3 Adjusted R Square 0.971935 Standard Error 1.389215 Observations 10 ANOVA df SS MS F Significance F Regression 3 607.3205 202.4402 104.8957 1.42262E-05 Residual 6 11.57951 1.929918 Total 9 618.9 Coefficientsandard Ern t Stat P-value Lower 95% Upper 95% ower 95.0%/pper 95.0% Intercept 8.43009 3.683785 -2.28843 0.062077 -17.44398904 0.583808 -17.444 0.583808 Food Sales (tens of thousans of dollars) X1 0.024611 0.014051 1.751488 0.130422 -0.00977168 0.058993 -0.00977 0.058993 Nonfood Sales (tens of thousands of dollars) X2 0.092376 0.03251 2.841453 0.029511 0.012826637 0.171926 0.012827 0.171926 Store Size (thousands of square feet) X3 0.499726 0.069656 7.174166 0.000371 0.329283151 0.670169 0.329283 0.670169SUMMARY OUTPUT Regression Statistics Multiple R 0.985761 R Square 0.971724 Y= -3.040 + 0.046X1 + 0.605X2 Adjusted R 0.963645 Standard E 1.581136 Observatio 10 ANOVA SS MS F Significance F Regression 2 601.4001 300.7 120.2804 3.80151E-06 Residual 7 17.49994 2.499991 Total 9 618.9 Coefficientsandard Err t Stat P-value Lower 95% Upper 95% ower 95.0%pper 95.0% Intercept -3.04086 2.305333 -1.31905 0.228661 -8.492103413 2.41039 -8.4921 2.41039 Nonfood Sales (tens of thousands of dollars) X2 0.046468 0.02189 2.12281 0.071424 -0.005293304 0.09823 -0.00529 0.09823 Store Size (thousand s of square feet) X3 0.605083 0.039976 15.13623 1.32E-06 0.510555035 0.69961 0.510555 0.69961