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# Use this information to conduct regression analysis to determine whether team salary is a good predictor of wins.

Use this information to conduct regression analysis to determine whether team salary is a good predictor of wins.

Question #1: In this analysis which variable is the dependent variable? ____

Continuing on with our analysis of the correlation between Salary and Wins, what is the value of the correlation coefficient?

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Is the correlation between Wins and Salary statistically significant or not significant?

Make a scatterplot to show the relationship between Wins and Salary. Theory suggests team owners who pay more will have more wins. Which variable should be on the vertical axis? ____

what is the direction of the correlation between Salary and Wins? ____

what is the strength of the correlation between Wins and Salary? ____

Using the regression equation

Wins = a + b * Salary

how many wins would we predict for a team with a salary of \$75 (million)?

Hint: a and b are constants. Once you know those, you plug in 75 for Salary to determine Wins. Round your answer two decimal places. ____

What is the SLOPE of the regression line?

What is the intercept? That is, what is the a-value?