Tag: Data Analysis with R
Tutorial on R Studio: Testing Residual Normality in Multiple Linear Regression for Time Series Data
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.
How to Conduct a Normality Test in Simple Linear Regression Analysis Using R Studio and How to Interpret the Results
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.