Suppose you estimate a simple linear regression model for profits from hot dog sales at football stadiums based on the total number of fans supporting the local team. Here are the results, based on your sample size of 23: PROFITS = 3.52 +0.36 FANS where PROFITS is profits from hot dog sales in thousands of dollars, and FANS is the total number of fans measured in thousands. Suppose the averages are 10.6 for PROFITS and 35 for FANS, and the respective variances are 9.8 and 20. The standard error of the estimate is 12.5. You are offered a franchise at a stadium where the local team has 75,000 fans. what is the value of the upper limit of the 95% prediction interval for the profints from hot dogs sales for this team? Given below are the critical values. to.025,21 - 2.080 tuus, 21 - 1.721.025,22 - 2.074 0.05.22 - 1.717 Select one: a. 86.77 b. 95.30 C. 95.80 d.-25.73 Suppose you estimate a simple linear regression model for profits from hot dog sales at football stadiums based on the total number of fans supporting the local team. Here are the results, based on your sample size of 23: PROFITS = 3.52 +0.36 FANS where PROFITS is profits from hot dog sales in thousands of dollars, and FANS is the total number of fans measured in thousands. Suppose the averages are 10.6 for PROFITS and 35 for FANS, and the respective variances are 9.8 and 20. The standard error of the estimate is 12.5. You are offered a franchise at a stadium where the local team has 75,000 fans. what is the value of the upper limit of the 95% prediction interval for the profints from hot dogs sales for this team? Given below are the critical values. to.025,21 - 2.080 tuus, 21 - 1.721.025,22 - 2.074 0.05.22 - 1.717 Select one: a. 86.77 b. 95.30 C. 95.80 d.-25.73