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In simple linear regression analysis, you make the assumption that the straight line y = βx is the basis for the relationship between the variables X and y. The coefficient of determination R^2 measures how well the model fits the data. But even when the independent variable does a good job of explaining the variability of the dependent variable, the error variables in the regression model must satisfy certain assumptions. When the assumptions about the error variable are seriously violated, th
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