8 min read
This guide covers linear regression focusing on the least squares regression line (LSRL). Key concepts include the LSRL equation, calculating and interpreting slope and y-intercept, understanding and interpreting the coefficient of determination (R²) and standard deviation of residuals, and reading computer printouts. Practice questions and a scoring rubric are provided.
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Question 1 of 12
What does the Least Squares Regression Line (LSRL) aim to minimize? 🤔
The sum of residuals
The sum of absolute residuals
The sum of the squared residuals
The average of the residuals