Asked by Nicole Behne on May 26, 2024
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The adjusted coefficient of determination is adjusted for the number of independent variables in the model by using sum of squares rather mean squares.
Adjusted Coefficient
Refers to a statistical measure adjusted for the number of predictors in a model to better assess the goodness of fit.
Independent Variables
Variables that are manipulated or selected by the researcher to determine their effects on dependent variables.
Sum of Squares
Sum of squares is a statistical technique that measures the dispersion or variation within a data set, by summing the squares of deviations from the mean.
- Acquire proficiency in assessing and comprehending the coefficient of determination and the adjusted coefficient of determination within multiple regression models.
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Learning Objectives
- Acquire proficiency in assessing and comprehending the coefficient of determination and the adjusted coefficient of determination within multiple regression models.
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