Regression analysis A B C D E G 1 2 SUMMARY OUTPUT Regression Statistics 3 Multiple R 0.69 4 R Square 0.47 5 Adjusted R Square 0.37 6 Standard Error 218.13 7 7 Observations 8 ANOVA 9 10 Regression df SS MS F Significance F 1 214,895 40 214,895.40 4.52 0.0869 11 Residual 5 237,904.60 47,580.92 12 Total 6 452,800.00 13 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% 14 Intercept 2,163.80 1,426.35 1.52 0.19 1,502.75 5,830.36 15 X Variable 1 0.19 0.09 2.13 0.09 -0.04 0.42 Print Done Kara Battle owner of Flower Paradise, operates a local chain of floral shops. Each shop has its own delivery van Instead of charging a flat delivery fee, Battle wants to set the delivery fee based on the distanc driven to deliver the flowers Batle wants to separate the fixed and variable portions of her van operating costs so that she has a better idea how delivery distance affects these costs Flower Paradise does a regression analysis on the next year's data using Excel The output generated by Excel is as follows (Click the icon to view the regression analysis) Read the requirements Requirement 1. Determine the firm's cost equation (use the output from the Excel regression) (Enter amounts to two decimal places) Requirements 1. Determine the tem's cost equation (use the output from the Excel regression) 2. Determine the R-squared (use the output from the Excel togression) What does Flower Paradise's R-squared indicate 3. Predict van operating costs at a volume of 15.000 mis assuming the company would use the cost equation from the Excel egression regardless of its R-squared Should the company rely on this cost estimate? Why or why not? Print Done X