Melody Leigh, owner of Broadway Floral operates a local chain of floral shops. Each shop has its own delivery van. Instead of charging a flat delivery fee, Leigh wants to set the delivery fee based on the distance driven to deliver the flowers. Leigh wants to separate the fixed and variable portions of her van operating costs so that she has a better idea how deliver distance affects these costs. Broadway Floral does a regression analysis on the next year's data using Excel. The output generated by Excel is as follows:

Regression analysis SUMMARY OUTPUT Regression Statistics Mutiple R R Square Adjusted R Square Standard Error Observations 0.69 0.47 0.37 218.13 ANOVA df MS 214,895.40 47,580.92 Significance F Regression 4.52 214,895.40 237,904.60 452,800.00 0.0869 Residual Total Standard Lower Upper Coefficients E Error t Stat P-value 95% 95% Intercept 2163.80 1.426.35 1.52 0.19-1,502.75 5,830.36 0.04 X Variable 1 0.19 0.09 2.13 0.09 0.42 Requirements 1. Determine the firm's cost equation (use the output from the Excel regression). 2. Determine the R-square (use the output from the Excel regression). What does Broadway Floral's R-square indicate? 3. Predict van operating costs at a volume of 16,000 miles assuming the company would use the cost equation from the Excel regression regardless of its R-square. Should the company rely on this cost estimate? Why or why not