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.

Given: Adjusted R2 value of 0.7541; R2=0.7541

Answered: In the output for a multiple regression…

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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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.