Testing for normality in linear regression analysis is a crucial part of inferential method assumptions, requiring regression residuals to be normally distributed. Residuals are the differences between observed values and those predicted by the linear regression model.
Descriptive statistics analysis is a crucial step in research, aimed at summarizing and illustrating fundamental information from a dataset. Through descriptive statistics, we can present data in a more informative and easily understandable format.
In today’s post, Kanda Data provides a comprehensive tutorial on how to perform linear regression analysis using Microsoft Excel. Before we dive into the tutorial, the first step is to activate the Analysis ToolPak in Excel. Next, Kanda Data presents a case study example of research data to be analyzed using linear regression analysis.
