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Multicollinearity

Multicollinearity. Multicollinearity. Multicollinearity (or intercorrelation ) exists when at least some of the predictor variables are correlated among themselves. In observational studies, multicollinearity happens more often than not.

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687 views • 35 slides

Lack of Fit (LOF) Test

Lack of Fit (LOF) Test. A formal F test for checking whether a specific type of regression function adequately fits the data. Example 1. Do the data suggest that a linear function is adequate in describing the relationship between skin cancer mortality and latitude?. Example 2.

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1.67k views • 24 slides

Descriptive measures of the degree of linear association

Descriptive measures of the degree of linear association. R-squared and correlation. Coefficient of determination. R 2 is a number (a proportion!) between 0 and 1. If R 2 = 1: all data points fall perfectly on the regression line predictor X accounts for all of the variation in Y

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454 views • 18 slides

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Variance source - PowerPoint PPT Presentation

Multicollinearity

Lack of Fit (LOF) Test

Descriptive measures of the degree of linear association