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Posted: April 13th, 2023

Statistic1 essay

Question1
Determine the estimated regression equation that could be used to predict the proportion of games won given the number of team home runs.
What is the calculated test statistic value of the model? (4 decimals)

Question2
Determine the estimated regression equation that could be used to predict the proportion of games won given the ERA.
What is the calculated test statistic value of the model? (4 decimals)

QUESTION 3
• Determine the estimated regression equation that could be used to predict the proportion of games won given the Home Runs and ERA.
• What is the calculated test statistic value of the model? (4 decimals)

QUESTION 4
• Determine the estimated regression equation that could be used to predict the proportion of games won given the number of team home runs.
• How much of the variation is explained by Home Runs? (4 decimals)

QUESTION 5
• Determine the estimated regression equation that could be used to predict the proportion of games won given the ERA.
• How much of the variation is explained by ERA? (4 decimals)

QUESTION 6
• Copy of
• Determine the estimated regression equation that could be used to predict the proportion of games won given the Home Runs and ERA.
• How much of the variation is explained by Home Runs and ERA? (4 decimals)

QUESTION 7
• Determine the estimated regression equation that could be used to predict the proportion of games won given the number of team home runs.
• What is the critical value of the model? (4 decimals)

QUESTION 8
• Determine the estimated regression equation that could be used to predict the proportion of games won given the ERA.
• What is the critical value of the model? (4 decimals)

QUESTION 9
• Determine the estimated regression equation that could be used to predict the proportion of games won given the Home Runs and ERA.
• What is the critical value of the model? (4 decimals)

QUESTION 10
• Determine the estimated regression equation that could be used to predict the proportion of games won given the number of team home runs.
• What is the calculated p-value for the model? (4 decimals)

QUESTION 11
• Determine the estimated regression equation that could be used to predict the proportion of games won given the ERA.
• What is the calculated p-value for the model? (4 decimals)

QUESTION 12
• Determine the estimated regression equation that could be used to predict the proportion of games won given the Home Runs and ERA.
• What is the calculated p-value for the model? (4 decimals)

QUESTION 13
• Determine the estimated regression equation that could be used to predict the proportion of games won given the number of team home runs.
• What is the critical value of alpha? (4 decimals)

QUESTION 14
• Determine the estimated regression equation that could be used to predict the proportion of games won given the ERA.
• What is the critical value of alpha? (4 decimals)

QUESTION 15
• Determine the estimated regression equation that could be used to predict the proportion of games won given the Home Runs and ERA.
• What is the critical value of alpha? (4 decimals)

QUESTION 16
Determine the estimated regression equation that could be used to predict the proportion of games won given the number of team home runs.
What is the Null Hypothesis of the model?
H0: β1 = 0
H0: β1 not = 0
Ha: β1 = 0
Ha: β1 not = 0

QUESTION 17
Determine the estimated regression equation that could be used to predict the proportion of games won given the ERA.
What is the Null Hypothesis of the model?
H0: β1 = 0
H0: β1 not = 0
Ha: β1 = 0
Ha: β1 not = 0

QUESTION 18
Determine the estimated regression equation that could be used to predict the proportion of games won given the Home Runs and ERA.
What is the Null Hypothesis of the model?
H0: β1 = β2 = 0
H0: β1 not = β2 not = 0
Ha: β1 = β2 = 0
Ha: β1 not = β2 not = 0

QUESTION 19
Determine the estimated regression equation that could be used to predict the proportion of games won given the number of team home runs.
What is your conclusion?
Do not Reject the Null Hypothesis: There is not a significant relationship between Home Runs and Wins.
Reject the Null Hypothesis: There is a significant relationship between Home Runs and Wins.
Reject the Null Hypothesis: There is not a significant relationship between Home Runs and Wins.
Do not Reject the Null Hypothesis: There is a significant relationship between Home Runs and Wins.

QUESTION 20
Determine the estimated regression equation that could be used to predict the proportion of games won given the ERA.
What is your conclusion?
Do not Reject the Null Hypothesis: There is not a significant relationship between ERA and Wins.
Reject the Null Hypothesis: There is a significant relationship between ERA and Wins.
Reject the Null Hypothesis: There is not a significant relationship between ERA and Wins.
Do not Reject the Null Hypothesis: There is a significant relationship between ERA and Wins.

QUESTION 21
Determine the estimated regression equation that could be used to predict the proportion of games won given the Home Runs and ERA.
What is your conclusion?
Do not Reject the Null Hypothesis: There is not a significant relationship between Home Runs, ERA and Wins.
Reject the Null Hypothesis: There is a significant relationship between Home Runs, ERA and Wins.
Reject the Null Hypothesis: There is not a significant relationship between Home Runs, ERA and Wins.
Do not Reject the Null Hypothesis: There is a significant relationship between Home Runs, ERA and Wins.

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