Jordan's Gym is located in a popular vacation spot with much higher demand in the summer than in the winter. The gym has both annual memberships and individual visit prices, which makes it a popular alternative for seasonal visitors. The owner of the gym is interested in developing a budget for the coming year and would like to predict the operating costs of the gym. The accountant for the gym has compiled data on gym operating costs and gym visits, which the accountant believes is the best predictor of operating costs. The data are presented in the accompanying table and a simple regression analysis follows. SUMMARY OUTPUT ANOVA a. In the standard regression equation y=a+bx, the letter b is best described as the: Independent variable. Dependent variable. Constant coefficient. Correlation coefficient. Variable cost coefficient. b. In the standard regression equation y=a+bx, the letter y is best described as the: Independent variable. Correlation coefficient. Constant coefficient. Variable cost coefficient. Dependent variable. c. In the standard regression equation y=a+bx, the letter x is best described as the: Independent variable. Dependent variable. Constant coefficient. Correlation coefficient. Variable cost coefficient. d. If the accountant uses the high-low method to estimate costs, the cost equation for gym operating costs is: Cost=$5,760+($8Gymvisits).Cost=$12,476.Cost=$6.05Gymvisits.Cost=$12,476+($6.05Gymvisits). Some other equation. e. Based on the results of the accountant's high-low method, the estimate of gym operating costs in a month with 3,500gym visits would be: $16,905.$12,476.$15,976.$36,853. Some other amount. f. The correlation coefficient (rounded) for the regression equation for operating costs is: 0.790 0.807 . 0.898 . 0.927 . Some other amount. g. The percentage of the total variance (rounded) that can be explained by the regression is: 79.0. 80.7. 88.5. 92.7. Some other amount