![]() Standard Error – It is another goodness of fit measure that tells us the precision of the regression analysis. ![]() In our example, the value is 0.84 which means 84% of the dependent variable is explained by the independent variable.Īdjusted R Square – This value is considered an adjusted value for R square when we are running a multiple regression. ![]() Generally, an R square of 95% is considered as a good fit. It is an indicator of the goodness of fit. R Square – It tells us how much of the variation of a dependent variable is explained by an independent variable in a regression. Here, the value is 0.916 which means that there is a strong positive relation between the sales amount and the amount spent on advertising.
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