Chapter 9 - i. Points of high leverage points with x-value...

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Chapter 9 Regression Wisdom (Skip Chapter 10) ActivStats: 9-1 to 9-4 Read: Chapter 9 Analysis of a linear regression model: 1. R-squared not less than 0.30 ( 30 . 0 2 R ) 2. Residuals - should be "evenly" distributed around zero; no visible pattern, bell-shape distribution 3. All data must come from the same group
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Prediction - reasonable only in the range of x-values or slightly beyond Interpolation Extrapolation - not reliable Outliers - points that stands away from others. If there is an outlier you should build 2 models, with and without the outlier, and compare them.
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Unformatted text preview: i. Points of high leverage points with x-value far from the mean of x-values ii. Influential Points - points which influence regression model very much (for example if moved or removed). iii. Points with large residuals. Lurking variables. Strong association does not mean that one variable causes the change of other. The fact that both variables x and y change simultaneously could be due to another, so called lurking, variable. Note: Non-linear scatterplot is in Chapter 10 we skip it, but please watch video from ActivStats....
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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 9 - i. Points of high leverage points with x-value...

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