Assumptions of Linear Regression
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Assumptions of Linear Regression
Assumptions of Linear Regression: In order for the results of the regression analysis to be interpreted meaningfully, certain conditions must be met: 1) Linearity: There must be a linear relationship between the dependent and independent variables. 2) Homoscedasticity: The residuals must have a constant variance. 3) Normality: The residuals ...
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