In the output for a multiple regression model, you have an Adjusted R^2 value of 0.7541. What does this value tell you about the fit of your regression model? Question 11 options: The relationships between the predictor variables and the outcome variable have a 75.41% likelihood of occurring by chance. The predictions from this regression model will be 75.41% accurate. The predictor variables in the model together account for 75.41% of the variability in the outcome variable. A one-unit change in each of the slope coefficients results in a change of .7541 units in the predicted value of the outcome variable.
In the output for a multiple regression model, you have an Adjusted R^2 value of 0.7541. What does this value tell you about the fit of your regression model? Question 11 options: The relationships between the predictor variables and the outcome variable have a 75.41% likelihood of occurring by chance. The predictions from this regression model will be 75.41% accurate. The predictor variables in the model together account for 75.41% of the variability in the outcome variable. A one-unit change in each of the slope coefficients results in a change of .7541 units in the predicted value of the outcome variable.
Glencoe Algebra 1, Student Edition, 9780079039897, 0079039898, 2018
18th Edition
ISBN:9780079039897
Author:Carter
Publisher:Carter
Chapter4: Equations Of Linear Functions
Section4.6: Regression And Median-fit Lines
Problem 4GP
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Question
In the output for a multiple regression model, you have an Adjusted R^2 value of 0.7541. What does this value tell you about the fit of your regression model?
Question 11 options:
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The relationships between the predictor variables and the outcome variable have a 75.41% likelihood of occurring by chance. |
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The predictions from this regression model will be 75.41% accurate. |
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The predictor variables in the model together account for 75.41% of the variability in the outcome variable. |
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A one-unit change in each of the slope coefficients results in a change of .7541 units in the predicted value of the outcome variable. |
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