Statistics (STAT 101) Regression & Correlation Interpretation Study Guide
University of North Carolina at Chapel Hill
Statistics (STAT 101) | Study Guide

Overview
A study guide for correlation vs causation, simple linear regression output, residuals, and interpreting slope, intercept, and R-squared in context.

Key topics
•correlation vs causation
•least squares line meaning and slope units
•R-squared and residual plots
•outliers, leverage, and influence

Suggested study tasks
•interpret slope and intercept with units for one scenario
•decide if a residual plot suggests nonlinearity
•explain what R-squared does and does not mean

Common pitfalls
•claiming causation from correlation
•interpreting intercept when x=0 is outside the data range
•confusing r with R-squared