ANOVA df SS MS F Significance F Regression 1 1620 1620 21.13043 0.019348927 Residual 3 230 76.6667 Total 4 1850 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 68.0 8.17743055 8.315570472 0.003644 41.97577 94.0242 Xi -3.00 0.65263001 -4.59678527 0.019349 -5.07696 -0.92304 15. Using the provided summary output (that used the method of least squares), what is the cost formula for the receiving activity? 16. Using the cost formula you derived in question 15, how much would the total predicted cost be with 1,750 purchase orders?_ 17. The standard error of the regression is 770.498. Using this information, your answer to items 15 and 16, and Exhibit 3.14 below, what is the 95% confidence interval for the 1,750 purchase order estimate? Degrees of Freedom 90% 95% 99% 1 6.314 12.708 63.657 2 2.92 4.303 9.925 3 2.353 3.182 5.841 4 2.132 2.776 4.604 5 2.015 2.571 4.032 6 1.943 2.447 3.707 7 1.895 2.365 3.499 8 1.86 2.306 3.355 9 1.833 2.262 3.25 10 1.812 2.228 3.169 11 1.796 2.201 3.106 12 1.782 2.179 3.055 13 1.771 2.16 3.055 14 1.761 2.145 3.012 15 1.753 2.131 2.947 16 1.746 2.12 2.921 17 1.746 2.11 2.898 18 1.734 2.101 2.878 19 1.729 2.093 2.861 20 1.725 2.086 2.845 30 1.697 2.042 2.75 00** 1.645 1.96 2.576 ANOVA df SS MS F Significance F Regression 1 1620 1620 21.13043 0.019348927 Residual 3 230 76.6667 Total 4 1850 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Intercept 68.0 8.17743055 8.315570472 0.003644 41.97577 94.0242 Xi -3.00 0.65263001 -4.59678527 0.019349 -5.07696 -0.92304 15. Using the provided summary output (that used the method of least squares), what is the cost formula for the receiving activity? 16. Using the cost formula you derived in question 15, how much would the total predicted cost be with 1,750 purchase orders?_ 17. The standard error of the regression is 770.498. Using this information, your answer to items 15 and 16, and Exhibit 3.14 below, what is the 95% confidence interval for the 1,750 purchase order estimate? Degrees of Freedom 90% 95% 99% 1 6.314 12.708 63.657 2 2.92 4.303 9.925 3 2.353 3.182 5.841 4 2.132 2.776 4.604 5 2.015 2.571 4.032 6 1.943 2.447 3.707 7 1.895 2.365 3.499 8 1.86 2.306 3.355 9 1.833 2.262 3.25 10 1.812 2.228 3.169 11 1.796 2.201 3.106 12 1.782 2.179 3.055 13 1.771 2.16 3.055 14 1.761 2.145 3.012 15 1.753 2.131 2.947 16 1.746 2.12 2.921 17 1.746 2.11 2.898 18 1.734 2.101 2.878 19 1.729 2.093 2.861 20 1.725 2.086 2.845 30 1.697 2.042 2.75 00** 1.645 1.96 2.576