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Linearity & Multivariate Normality: The relationships between variables and factors should ideally be linear, and data should approximate multivariate normality for accurate inference. Deviations can impact results. #StatisticalAssumptions
How to perform Normality Test? #DataDistribution #NormalDistribution #StatisticalAssumptions #ShapiroWilkTest #KolmogorovSmirnovTest #QQPlot #HistogramAnalysis #Skewness
7/ Assumptions of Regression Analysis 📏 Linearity: Relationship between X and Y is linear. Independence: Observations are independent of each other. Homoscedasticity: Constant variance of errors. Normality: Errors are normally distributed. #StatisticalAssumptions**
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