The R-squared is not a perfect measure of the goodness of fit of a regression model. It can be inflated by outliers or by multicollinearity.
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The Durbin-Watson statistic is only a rough guide to the presence of autocorrelation. It is not always reliable, especially for small sample sizes.
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