In a regression equation, a regression weight (such as $$b_1$$) indicates how large a contribution a predictor variable makes, on average, to the prediction of the outcome variable. It represents the slope of the relationship, demonstrating how much the outcome variable changes for each one-unit change in the predictor variable.

Regression Weight

In the simple regression formula Y = b1X1, match each symbol to its corresponding representation.

The equation for simple regression has the general form $$Y = b_1X_1$$. In this formula, $$Y$$ represents the predicted score on the outcome variable, $$X_1$$ represents the individual's score on the predictor variable, and $$b_1$$ represents the regression weight or the slope of the line.

Google

Simple regression is a statistical technique that involves using exactly one predictor variable to predict the value of a single outcome variable.

Simple Regression

https://kpu.pressbooks.pub/psychmethods4e/

KPU Research Methods in Psychology - 4th American Edition

Simple Regression Formula

An example of simple regression involves predicting a student's grade point average (GPA) based on their intelligence quotient (IQ) score. Once correlational research establishes a relationship between IQ and GPA, researchers can apply a simple regression equation to calculate an individual's expected GPA given their specific IQ score.

Learn Before

Related

Learn After