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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?

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