Use Baseball_2015.xls file which consists of 30 Major League Baseball teams' statistics from 2015. It includes variables regarding the games played, wins & losses, at bats, runs scored, hits, homeruns, total bases, runs batted in, batting average, on base percentage, strikeouts, stolen bases, earned run average, saves, opponent runs, opponent batting average, errors, team payroll, the dollar value of each team win, and whether the team made it to the playoffs (FYI, Kansas City ultimately won the World Series).

• ASSIGNED PROBLEM 1: A team must score more than their opponents to win a game, and so they must ultimately score runs since they cannot win with a score of zero. Are runs correlated with wins (i.e., does a team that scores more runs win more games)? Conduct a simple correlation analysis to determine if there is a correlation between Runs and Wins. Use a .05 significance level. Also answer the following:

o Is the correlations statistically significant? State the p-value.

o What is the correlation coefficient and how strong is it?

o What is the best fit regression equation that can predict the Wins from the Runs? What does the coefficient in the regression equation mean (i.e., the number in front of Runs)?

o What percent of the variability in the Wins by the regression model?

o How many games would you expect a team to win if they scored 800 runs in a season?

• ASSIGNED PROBLEM 2: Let's look at a popular argument that it takes money to win. Well Kansas City had one of the lowest payrolls and won it all, Houston had the 2nd lowest payroll and made it far in the playoffs, and 7 of the top 10 payrolls didn't even qualify for the playoffs. The evidence will show that money is not a predicting factor, but let's make it official. Conduct a simple correlation analysis to determine if there is a correlation between Payroll and Wins. Use a .05 significance level. Also answer the following:

o Is the correlations statistically significant? State the p-value.

o What is the correlation coefficient and how strong is it?

o If the results are not statistically significant, you would normally stop at this point.

• ASSIGNED PROBLEM 3: To get an even better model for predicting Wins, let’s look at many variables. Create a multiple regression equation predicting the Wins using Runs, Hits, HomeRuns, Average, Strikeouts, Stolen Bases, and ERA. Use the Stepwise procedure to eliminate non-significant variables until the final equation has only significant variables. After you create your regression equation, predict the Wins for a team that has 700 runs, 1500 hits, 200 homeruns, a .260 average, 1000 strikeouts, 100 stolen bases, and a 3.00 ERA.

Expectations: Copy & paste the Excel displays into a Word file if you can. Upload the Word file (or the Excel files) for credit. Comments in which you describe your findings should be included with each display. APA formatting is not required for weekly assignments but adhere to the rules of written English in your punctuation, grammar and spelling.

Use Baseball_2015.xls file which consists of 30 Major League Baseba...