SUMMARY OUTPUT
Regression Statistics
Multiple R	0.99791439
R Square	0.99583312
Adjusted R Square	0.99583041
Standard Error	3813.87356
Observations	1536
ANOVA
	df	SS	MS	F	Significance F
Regression	1	5.3325E+12	5.3325E+12	366607.302	0
Residual	1534	2.2313E+10	14545631.6
Total	1535	5.3548E+12
	Coefficients	Standard Error	t Stat	P-value	Lower 95%	Upper 95%	Lower 95.0%	Upper 95.0%
Intercept	-58349.162	502.218877	-116.18273	0	-59334.27	-57364.053	-59334.27	-57364.053
Quantity	2001.34946	3.30538745	605.48105	0	1994.86591	2007.83302	1994.86591	2007.83302

As another matter with Analysts Incorporated, your team has carefully collected data on output and costs for a software servicing firm. The data are in the spreadsheet below. You've decided to model the firm's costs as a cubic cost function. Click here for the Excel Data File a. Use regression analysis to get estimates for the parameters of the firm's cubic cost function. Which of your estimates is statistically significant? (Click to select) b. What are the fixed costs for this firm? Round to the nearest penny. c. What is the average total cost when Q = 140? Round to the nearest penny. d. What is the marginal cost when Q = 140? Round to the nearest penny. As another matter with Analysts Incorporated, your team has carefully collected data on output and costs for a software servicing firm. The data are in the spreadsheet below. You've decided to model the firm's costs as a cubic cost function. Click here for the Excel Data File a. Use regression analysis to get estimates for the parameters of the firm's cubic cost function. Which of your estimates is statistically significant? (Click to select) b. What are the fixed costs for this firm? Round to the nearest penny. c. What is the average total cost when Q = 140? Round to the nearest penny. d. What is the marginal cost when Q = 140? Round to the nearest penny