Asked by Johanna Roque on May 30, 2024
Verified
A measure of goodness of fit for the estimated regression equation is the
A) multiple coefficient of determination.
B) multicollinearity.
C) mean square due to regression.
D) studentized residual.
Goodness of Fit
A statistical test used to determine how well observed data match the expected data from a model.
Estimated Regression Equation
The estimate of the regression equation developed from sample data by using the least squares method. For simple linear regression, the estimated regression equation is yˆ = b0 + b1x.
- Realizing the calculation and interpretation of the multiple coefficient of determination.
Verified Answer
ZK
Zybrea KnightJun 05, 2024
Final Answer :
A
Explanation :
The multiple coefficient of determination (R-squared) is a measure of how well the regression equation fits the data, specifically how much of the variation in the dependent variable can be explained by the independent variables. A value of R-squared closer to 1 indicates a better fit.
Learning Objectives
- Realizing the calculation and interpretation of the multiple coefficient of determination.
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