Kara Coughlin, owner of Flower Power, operates a local chain of floral shops. Each shop has its own delivery van. Instead of charging a flat delivery fee,

Coughlin wants to set the delivery fee based on the distance driven to deliver the flowers. Coughlin 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.

SUMMARY OUTPUT Regression Statistics Multiple R R Square Adjusted R Square Standard Error Observations 0.83 0.69 0.63 127.80 7 ANOVA df Regression Residual Total SS 1 5 6 MS 185,536.45 81,663.55 267,200.00 Standard Coefficients Error Intercept X Variable 1 2532.42 0.17 813.67 0.05 F 185,536.45 16,332.71 t Stat 3.11 3.37 Significance F 11.36 P-value 0.03 0.02 0.0199 Lower 95% 440.81 0.04 Upper 95% 4,624.02 0.30 Kara Coughlin, owner of Flower Power, operates a local chain of floral shops. Each shop has its own delivery van. Instead of charging a flat delivery fee, Coughlin wants to set the delivery fee based on the distance driven to deliver the flowers. Coughlin 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. 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 Flower Power's R-square indicate? 3 Predict van operating costs at a volume of 14,500 miles. Requirement 1. Determine the firm's cost equation (use the output from the Excel regression). (Enter amounts to two decimal places.) y=$ x+$