Linear Regression Models
Jackson Hernandez
7 min read
Study Guide Overview
This study guide covers linear regression and extrapolation for AP Statistics. It explains the least squares regression line (LSRL), its equation (ลท = a + bx), and how to calculate it. It also discusses the risks of extrapolation, using the LSRL to predict outside the data range, and emphasizes interpreting results in context. Practice problems and exam tips are included.
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Question 1 of 9
What does the least squares regression line (LSRL) minimize? ๐ค
The sum of the actual y-values
The sum of the predicted y-values
The sum of the squared differences between actual and predicted y-values
The difference between the slope and the y-intercept