'Error sum' presentation slideshows

AMS 572 Group #2

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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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An alternative approach to testing for a linear association

An alternative approach to testing for a linear association. The Analysis of Variance (ANOVA) Table. Translating a research question into a statistical procedure. Is there a (linear) relationship between skin cancer mortality and latitude? How ?? Also, the (analysis of variance) F -test

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Linear Lack of Fit (LOF) Test

Linear Lack of Fit (LOF) Test. An F test for checking whether a linear regression function is inadequate in describing the trend in the data. Where does this topic fit in?. Model formulation Model estimation Model evaluation Model use. Example 1.

597 views • 30 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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Analysis of variance approach to regression analysis

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Welcome

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Economics 105: Statistics

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Economics 105: Statistics

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Simple Linear Regression

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Simple Linear Regression

148 views • 14 slides

Bias and Variance of Slope and Intercept

Bias and Variance of Slope and Intercept. Slope: Intercept:. Variance Formulae. Error sum of squares: Can show that Therefore is unbiased. Variance Formulae. Another formula for where . Estimated Standard Errors (definitions). Slope: Intercept:. Use of Regression.

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The additional sum of squares principle :

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