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How do concepts like R-squared, multicollinearity, and statistical tests (T-test vs. F-test) help evaluate linear regression models and interpret their results effectively?

How do concepts like R-squared, multicollinearity, and statistical tests (T-test vs. F-test) help evaluate linear regression models and interpret their results effectively?

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