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Tag: residual normality test

Tutorial on R Studio: Testing Residual Normality in Multiple Linear Regression for Time Series Data

By Kanda Data / Date Dec 09.2024 / Category Data Analysis in R

The normality test in multiple linear regression analysis is aimed at detecting whether the residuals are normally distributed. In research using time series data, it is also necessary to perform a normality test to ensure that the required assumptions are met.

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How to Perform Residual Normality Analysis in Linear Regression Using R Studio and Interpret the Results

By Kanda Data / Date Nov 11.2024 / Category Data Analysis in R

Residual normality testing is a key assumption check in linear regression analysis using the Ordinary Least Squares (OLS) method. One essential requirement of linear regression is that the residuals should follow a normal distribution. In this article, Kanda Data shares a tutorial on how to perform residual normality analysis in linear regression using R Studio, along with steps to interpret the results.

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