Chapter 8 - Chapter 8 Linear Regression ActivStats: 8-1 to...

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Chapter 8 – Linear Regression ActivStats: 8-1 to 8-4 Read: Chapter 8 Linear regression model is a model of a relationship beween two variables x, and y Response = linear function of x + Error y = b o + b 1 x + Error b o and b 1 are parameters of the model Goal: Estimate b o and b 1 and the regression line x b b y 1 0 ˆ + = Method: Least squares regression line – the line that minimizes the sum of squared vertical distances between points on the scatterplot and the line.
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Computation: x b b y 1 0 ˆ + = x y s s r b = 1 x b y b 1 0 - = where x is the mean of x y is the mean of y x s is the standard deviation of x y s is the standard deviation of y r is the correlation coefficient (in regression
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This note was uploaded on 07/25/2008 for the course STT 200 taught by Professor Dikong during the Summer '08 term at Michigan State University.

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Chapter 8 - Chapter 8 Linear Regression ActivStats: 8-1 to...

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