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1 Exploring One-Variable Data and Collecting Data

2 Probability, Random Variables, and Probability Distributions

3 Inference for Categorical Data: Proportions

4 Inference for Quantitative Data: Means

5 Regression Analysis

5.1 Graphical Representations Between Two Quantitative Variables

5.2 Correlation

5.3 Linear Regression Models

5.4.A—Calculate the differences between the observed and predicted values

5.4.B—Interpret the differences between the observed and predicted values

5.4.C—Describe the form of association of bivariate data using residual plots

5.5 Least-Squares Regression

AP/Statistics/Concept//5 Regression Analysis/5.4 Residuals/5.4.C—Describe the form of association of bivariate data using residual plots

5 Regression Analysis

Syllabus: 2026
Section: 5
Level: —

Exam analysis

Most tested topics

Graphical Representations Between Two Quantitative Variables
Correlation
Linear Regression Models
Residuals
Least-Squares Regression