How To Calculate Variance In Y In Regression Analysis

Introduction & Importance

Variance in Y in regression analysis is a crucial metric that measures the spread of residuals, or the difference between observed and predicted values of Y. Understanding how to calculate variance in Y is essential for assessing the fit of your regression model and making informed decisions based on your data.

For more information, refer to these authoritative sources:

• StackExchange – Residual Standard Error vs Standard Error of the Regression Coefficients
• Penn State – Residual Plots