Statistics (STAT 101) Linear Regression: Residuals, Outliers, and Inference for Slope Practice Problems
University of California, San Diego
Statistics (STAT 101) | Practice Problems

Overview
A high-intent practice packet for regression questions: write the LSRL, interpret residuals, identify influential points, and run inference for slope.

Key topics
•LSRL interpretation and prediction
•residuals and residual plots
•outliers leverage and influence
•inference for slope conditions and conclusion

Suggested study tasks
•compute predicted values and residuals for a data table
•diagnose issues from a residual plot
•complete one slope test with conditions and a context conclusion

Common pitfalls
•extrapolating outside the x range
•mixing up outlier vs influential
•forgetting to state the parameter and context in conclusions