presentation6 - CHAPTER 6 Regression: Tools for Predicting...

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CHAPTER 6 Regression: Tools for Predicting Behavior
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Regression: Building on Correlation The difference between regression and correlation 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 allows us to make quantitative predictions that more precisely explain relations among variables.
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Think about it Several studies have found a relationship between weight and blood pressure. Explain what is meant by a correlation between these two variables. Explain how you would frame the question for a simple linear regression.
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Regression Because simple linear regression helps us to find the equation for a line, we must have data that are linearly related to use. We can use Z score when make these prediction. The tendency for scores that are particularly high or low to drift towards the mean over time is known as regression to mean.
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Linear regression Intercept: predicted value of Y when X is equal to 0 Slope: the amount that Y is predicted to increase for an increase of 1 in X Ŷ = a + b(X)
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presentation6 - CHAPTER 6 Regression: Tools for Predicting...

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