Module 2 - Simple Linear Regression Lecture 2.3 - Assessing Regression Model Fit
Assessing the Fit of the Simple Linear Regression Model The Sums of Squares •Sum of squares due to error: The value of SSE is a measure of the error in using the estimated regression equation to predict the values of the dependent variable in the sample 𝑆𝑆𝑆𝑆𝑆𝑆=�𝑖𝑖=1 𝑛𝑛 (𝑦𝑦𝑖𝑖− �𝑦𝑦𝑖𝑖 ) 2 2𝑆𝑆𝑆𝑆𝑆𝑆=∑ 𝑖𝑖=1 𝑛𝑛𝑒𝑒2 = 8.0288
Estimation without Regression 3Without a regression model, our best guess would likely be the average value for y.
