The National Basketball Association (NBA) would like to develop a multiple regression model that would predict the number of wins for a team during the season. The following independent variables were considered for the model: field goal percentage (X1) , free throw percentage (X2) , turnovers per game (X3) , rebounds per game (X4) , and steals per game (X5) . The following regression model was chosen using a data set of team statistics:
= - 276.8949 + 6.0284x1 - 6.8230x3 + 3.348x4
The first team from the data set had the following values:
Wins = 56
Field goal percentage = 48.6%
Free throw percentage = 77.0%
Turnovers per game = 14.6
Rebounds per game = 38.8
Steals per game = 8.2
The residual for this team is _.
A) 9.6
B) - 3.1
C) 7.0
D) - 5.2
Correct Answer:
Verified
Q33: The mean square regression for this model
Q34: The degrees of freedom for the sum
Q35: The mean square error for this model
Q36: The reason that none of the remaining
Q37: _regression brings one independent variable at a
Q39: Which one of the following statements is
Q40: The 95% confidence interval for the average
Q41: The test statistic for testing the significance
Q42: The test statistic for testing the significance
Q43: The _ measures the total variation in
Unlock this Answer For Free Now!
View this answer and more for free by performing one of the following actions
Scan the QR code to install the App and get 2 free unlocks
Unlock quizzes for free by uploading documents