Brews 4 U is a local chain of coffee shops. Managers are interested in the costs of the stores and believe that the costs can be explained in large part by the number of customers patronizing the stores. Monthly data regarding customer visits and costs for the preceding year for one of the stores have been entered into the regression analysis. 5.000 $ 43.400 Average monthly customer-visits Average monthly tatal casts Regression results: Intercept bocelficient $ $ 685.65 7.30 0.79734 Required: a. In a regression equation expressed as ya bx, how is the letter best described? The letter is best described as the estimate of the cost for an additional customer visit. The letter is best desorbed as the observed store cost for a given month. The letter is best described as the observed customer visits for a given month. b. How is the letter y in the regression equation best described? The letter y is best described as the estimate of the cast for an arditional customer visit. The letter y is best described as the observed store cost for a giver manth The letter y is best described as the observed customer visits far a giver month c. How is the letter x in the regression equation best described? O The letter x is best described as the estimate of the cost for an additional customer visit The letter is best described as the observed store cost for a given month. The letter xis best described as the observed customer visits for a given month d. Based on the data derived from the regression analysis, what are the estimated costs for 330 customer-visits in a month? (Do not round intermediate computations. Round your answer to 2 decimal places.) Estimated cost e. What is the percent of the total variance that can be explained by the regression equation? (Enter your answer as a percentage rounded to 1 decimal place (i.e., 32.1)) Total variance explained