A Linear Regression model is said to be good when the R-squared value tends to
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R-squared is a goodness-of-fit measure for linear regression models. This statistic indicates the percentage of the variance in the dependent variable that the independent variables explain collectively. ... For instance, small R-squared values are not always a problem, and high R-squared values are not necessarily good!
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