AP®︎ Statistics (pre-2026): Topic 2.6 Flashcards

Master key terms and definitions for Topic 2.6 of AP Statistics (pre-2026) – Linear Regression Models to help you prep for quizzes and the AP exam.

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Term

Simple Linear Regression Model

Definition

An equation using one explanatory variable x to predict a response variable y.

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Simple Linear Regression Model
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An equation using one explanatory variable x to predict a response variable y.

DAT-1.DDAT-1.D.1
Least Squares Regression Line (LSRL)
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The line that minimizes the sum of squared residuals and best fits a scatterplot.

DAT-1.D
Predicted Response Value (ŷ)
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The model's estimated y-value for a given explanatory-variable value x.

DAT-1.DDAT-1.D.2
Slope and Y-Intercept in a Regression Line
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b is the change in predicted y per 1-unit x increase; a is predicted y when x = 0.

DAT-1.DDAT-1.D.2
Regression Equation and Prediction
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Use ŷ = a + bx to calculate the predicted response for a given x-value.

DAT-1.DDAT-1.D.2
Interpolation and Extrapolation
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Predictions within observed x-values are safer; beyond them, predictions are extrapolations and less reliable.

DAT-1.DDAT-1.D.3