class lecture_092010_regression

# class lecture_092010_regression - Regression Tools for...

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Regression: Tools for Predicting Behavior

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Regression: Building on Correlation c The Pearson Correlation Coefficient is a statistic that allows us to quantify the linear relationship etween two variables between two variables c Simple Linear regression is a statistical tool that enables us to predict an individual’s score on the dependent variable from his or her score on one independent variable.
Regression: Building on Correlation c We are assuming that the relationship between the two variables can best be described by a straight ne line c The line that passes through our data points with the minimum amount of error (distance between actual points and the line) is called line of best fit

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Regression: Building on Correlation The regression line equation c Intercept: predicted value of Y when X is equal to zero lope: e amount that predicted to change for c Slope: the amount that Y is predicted to change for an increase of 1 in X Ŷ = a + b(X)
Computing the Regression Line Equation We can compute the slope

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class lecture_092010_regression - Regression Tools for...

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