Please do Problem in Excel and show formulas and use solver.

Problem 4-30 from textbook (p. 143). In 2012, the total payroll for the New York Yankees was almost $200 million, while the total payroll for the Oakland Athletics (a team known for using baseball analytics or sabermetrics) was about $55 million, less than one-third of the Yankees' payroll. In the following table, you will see the payrolls (in millions) and the total number of victories for the baseball teams in the American League in the 2021 season. Team Payroll Number of ($1,000,000s) Victories Baltimore Orioles 81.4 93 Boston Red Sox 173.2 69 Chicago White Sox 96.9 85 Cleveland Indians 78.4 68 Detroit Tigers 132.3 88 Kansas City Royals 60.9 72 Los Angeles Angels 154.5 89 Minnesota Twins 94.1 66 New York Yankees 198.0 95 Oakland Athletics 55.4 94 Seattle Mariners 82.0 75 Tampa Bay Rays 64.2 90 Texas Rangers 120.5 93 Toronto Blue Jays 75.5 73 Answer the following questions. For all three questions, show computation by showing all the computational steps. Do NOT use the Excel Regression function. (a) Develop a regression model to predict the total number of victories based on the payroll. (b) Use the model to predict the number of victories for a team with a payroll of $79 million. (c) Suppose SST=1560, SSR=1250. What is the value of r? Explain it in the context of this problem. What is the value of correlation coefficient between these two variables? MUST retain all the formulas in the worksheet. If I cannot verify the formulas used and see static results only, a minimum 50% penalty will be applied