Kathy 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: (Click the icon to view the data.) 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.) y= x+ Data table Requirements Use Microsoft Excel to run a regression analysis, then do the following: 1. Determine the company's cost equation (use the output from the Excel regression). Month Miles Driven Van Operating Costs January...... 15,500 $5,400 February 17,500 $5,350 March 14,400 $4,980 April 16,400 $5,280 2. Determine the R-squared (use the output from the Excel regression). What does Flower Petal's R-squared indicate? May 16,900 $5,580 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? June 15,300 $5,010 July 13,500 $4,590 Print Done Print Done