One
major difference between R-squared and the adjusted R-squared is that
R-squared supposes that every independent variable in the model explains the variation in the dependent variable. It
gives the percentage of explained variation as if all independent variables in
the model affect the dependent variable, whereas the adjusted R-squared gives
the percentage of variation explained by only those independent variables that
in reality affect the dependent variable




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