Kaitlyn Meyer, owner of Flower Petal, operates a local chain of floral shops. Each shop has its own delivery van. Instead of charging a flat delivery fee, Meyer wants to set the delivery fee based on the distance driven to deliver the flowers. Meyer 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. She has the following data from the past seven months: E(Click the icon to view the data.) Data table Read the requirements Requirement 1. Determine the company's cost equation (use the output from the Excel regression). (Round the amounts to two decimal places.) Month Miles Driven Van Operating costs y = X + 15,900 $5,430 January February 17,300 $5,740 Requirement 2. Determine the R-squared (use the output from the Excel regression). March $4,940 The R-squared is 14,600 16,300 April $5,270 What does Flower Petal's R-squared indicate? 17,200 $5.820 May June 15,200 $5,400 The R-squared indicates that the cost equation explains V of the variability in the data. In other words, it Flower Petal feel confident using this cost equation to predict total costs at other volumes within the same relevant range. July 14,300 $4,990 Requirement 3. Predict van operating costs at a volume of 15,500 miles assuming the company would use the cost equation from the Excel regression regardless of its R-squared. Should the company rely on this cost estimate? Why or why not? (Round your answer to the nearest cent.) The operating costs at a volume of 15,500 miles is Print Done Should the company rely on this cost estimate? Why or why not? Since the R-squared is V , the company