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Home/Data Analysis with R

Tag: Data Analysis with R

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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Data Analysis in R

How to Conduct a Normality Test in Simple Linear Regression Analysis Using R Studio and How to Interpret the Results

By Kanda Data / Date Dec 10.2023

The Ordinary Least Squares (OLS) method in simple linear regression analysis is a statistical technique aimed at understanding the influence of an independent variable on a dependent variable. In simple linear regression, there is only one dependent variable and one independent variable.

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