The partially completed regression output to predict the number of wins during a season for a team based on the average points per game (PPG), the average number of penalties per game (PEN) and the turnover differential (TO) is given below Regression Statistics Multiple R 0.8075 R Square Adjusted R Square Standard Error 1.9338 Observations 32 ANOVA df SS MS Regression Residual Total 104.71 31 300.97 Coefficients Standard Error t Stat Intercept 1.5572 3.1208 PEN -0.2938 0.3438 PPG 0.3523 0.0903 ΤΟ 0.1371 0.0397 Time left 1:26:35 Hide [NOTE: Do not include a comma in your response] 1)The predicted number of wins in a season for a team that averages 7.0 penalties per game, averages 20.0 points per game, and has a turnover differential of -5 is $ 2) Which of the following groups of independent variables is significant in this model using alpha = 0.05? ⚫ PEN - • PPG - • TO - " 3) The 95% confidence interval for the regression coefficient for the PPG variable is $ and $
The partially completed regression output to predict the number of wins during a season for a team based on the average points per game (PPG), the average number of penalties per game (PEN) and the turnover differential (TO) is given below Regression Statistics Multiple R 0.8075 R Square Adjusted R Square Standard Error 1.9338 Observations 32 ANOVA df SS MS Regression Residual Total 104.71 31 300.97 Coefficients Standard Error t Stat Intercept 1.5572 3.1208 PEN -0.2938 0.3438 PPG 0.3523 0.0903 ΤΟ 0.1371 0.0397 Time left 1:26:35 Hide [NOTE: Do not include a comma in your response] 1)The predicted number of wins in a season for a team that averages 7.0 penalties per game, averages 20.0 points per game, and has a turnover differential of -5 is $ 2) Which of the following groups of independent variables is significant in this model using alpha = 0.05? ⚫ PEN - • PPG - • TO - " 3) The 95% confidence interval for the regression coefficient for the PPG variable is $ and $
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter10: Statistics
Section10.3: Measures Of Spread
Problem 1GP
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Transcribed Image Text:The partially completed regression output to predict the number of wins during a season for
a team based on the average points per game (PPG), the average number of penalties per
game (PEN) and the turnover differential (TO) is given below
Regression Statistics
Multiple R
0.8075
R Square
Adjusted R Square
Standard Error
1.9338
Observations
32
ANOVA
df
SS
MS
Regression
Residual
Total
104.71
31
300.97
Coefficients
Standard Error
t Stat
Intercept
1.5572
3.1208
PEN
-0.2938
0.3438
PPG
0.3523
0.0903
ΤΟ
0.1371
0.0397
![Time left 1:26:35 Hide
[NOTE: Do not include a comma in your response]
1)The predicted number of wins in a season for a team that averages 7.0 penalties per game,
averages 20.0 points per game, and has a turnover differential of -5 is $
2) Which of the following groups of independent variables is significant in this model using
alpha = 0.05?
⚫ PEN -
• PPG -
• TO -
"
3) The 95% confidence interval for the regression coefficient for the PPG variable is $
and $](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2F1683849d-5094-46de-a57a-7abddfb1bc38%2F68e6b6f4-971d-43ce-b413-bda52a5abde0%2Fzf6nxw_processed.png&w=3840&q=75)
Transcribed Image Text:Time left 1:26:35 Hide
[NOTE: Do not include a comma in your response]
1)The predicted number of wins in a season for a team that averages 7.0 penalties per game,
averages 20.0 points per game, and has a turnover differential of -5 is $
2) Which of the following groups of independent variables is significant in this model using
alpha = 0.05?
⚫ PEN -
• PPG -
• TO -
"
3) The 95% confidence interval for the regression coefficient for the PPG variable is $
and $
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