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As far my knowledge, Linear Regression assumes that data or columns are normally distributed and doesn’t have multicollinearity amongs the features, But when I apply Shapiro test, it shows that none of the columns is normally distributed. Then how can we use Linear Regression for Boston House Price datasets

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