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The value of R square would not decrease when more variables are added to the model. As a result, there is always a temptation to add more variables in the model, because of which problem can arise therefore in that case Adjusted R2 is used as a measure.
R Square. This is the most important number of the output. R Square tells how well the regression line approximates the real data. This number tells you how much of the output variableâs variance is explained by the input variablesâ variance.Ideally we would like to see this at least 0.6 (60%) or 0.7 (70%). Square. This is the most important number of the output. R Square tells how well the regression line approximates the real data. This number tells you how much of the output variableâs variance is explained by the input variablesâ variance.