Difference between the R-square and Adjusted R-Square ?
Answer:
R-square is the coefficient of the determination; which describe how much percent source of variation in the dependent variable is describe by the linear relationship with the independent variable. Large the value of R-square is better.
Adjusted R-square describe how much percent of the variation in the dependent variable is describe by the other factors (error term) or, how much percent the model will be able to accept the independent variable. Small the value of Adjusted R-square is better of the model.
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