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Tag: regression normality test

What Is a Residual Value in Statistics?

By Kanda Data / Date Jun 14.2025 / Category Statistics

If you’re working with data analysis using linear regression, especially the Ordinary Least Squares (OLS) method, it’s important to understand what a residual is. Why does this matter? Because several assumption tests in OLS regression rely heavily on residual values. That’s why you need a solid understanding of what residuals are and how to calculate them.

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Normality Test in Regression: Should We Test the Raw Data or the Residuals?

By Kanda Data / Date Jun 09.2025 / Category Assumptions of Linear Regression

When we choose to analyze data using linear regression with the OLS method, there are several assumptions that must be met. These assumptions are essential to ensure that the estimation results are consistent and unbiased. This is what we refer to as the Best Linear Unbiased Estimator (BLUE).

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