6, Regression Basics

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9 Terms

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Regression

A statistical method used to predict an outcome from one or more variables.

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Predictor variable (X)

The variable used to predict an outcome.

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Criterion variable (Y)

The outcome variable being predicted.

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Simple regression

Regression that uses one predictor variable to predict an outcome.

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Multiple regression

Regression that uses two or more predictor variables to predict an outcome.

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Regression equation: Y = a + bX

An equation used to predict Y using the intercept (a), slope (b), and predictor (X).

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Predicted value (Ŷ)

The outcome value estimated by a regression equation.

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Slope (b)

The predicted change in Y for every one-unit increase in X.

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Y-intercept (a)

The predicted value of Y when X equals zero.