Use the following information for Questions 1-10. On a typical night in New York, about 25,000 people attend a Broadway show, paying an average price of more than $75 per ticket. The accompanying table shows regression results using four weekly variables: Receipts ($ millions), Paid Attendance ( thousands), # Shows, Average Ticket Price ($). Receipts is modeled in terms of the other variables. Complete parts a through f below . R squared - 99.8 % R squared (adjusted) = 99.8 % s = 0.1176 with 73 degrees of freedom Page 1 Source Sum of Squares di Mean Square F-ratio Regression 485.278 161.759 11693.65 Residual 1.009816 0.013833 Variable Coeff SE (Coeff) t-ratio P-value Intercept - 18.290 0.3950 - 46.31 0.0000 # Shows 0.002 0.0056 0.37 0.7133 Paid Attendance 0.077 0.0008 96.33 0.0000 # Shows 0.238 0.0049 48.21 0.0000 Note: the bottom row variable in the table should actually be Average Ticket Price, not number of shows. a) Write the regression model, where x, is # Shows, X, is Paid Attendance in thousands, and x, is Average Ticket Price. Write the value as an integer or a decimal; do not round. Predicted Receipts = )X1 + ( * 2 + (