Susan Lewis, owner of a florist shop, is interested in predicting the cost of delivering floral arrangements. She collected monthly data on the number of deliveries and the total monthly delivery cost (depreciation on the van, wages of the driver, and fuel) for the past year. Number of Delivery Month Deliveries Cost January 100 $1,200 February 550 1,800 March 85 1,100 April 115 1,050 May 160 1,190 June 590 1,980 July 500 1,800 August 520 1,700 September 100 1,100 October 200 1,275 November 260 1,400 December 450 2,200 Required: 1. Using a computer spreadsheet program such as Excel, run a regression on these data. Enter the amount of the intercept (rounded to the nearest whole dollar) and the amount of the X Variable 1 (rounded to the nearest cent). Intercept: $ X Variable 1: $ 2. Using the above results, enter the cost formula for delivery cost. (Note: Round the fixed cost to the nearest dollar and the variable rate to the nearest cent.) Delivery cost = $ +($ x 3. Conceptual Connection: What is R based on your results? State the answer as a percent to one decimal place. Do you think that the number of deliveries is a good predictor of delivery cost? 4. Using the cost formula in Requirement 2, what would predicted delivery cost be for a month with 300 deliveries?