Review_exam_4 - cautions when using regression interaction...

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Greetings GB 303 students: Here are some hints on studying for the final exam. You should concentrate on the concepts and understand the key terms in the glossary of each chapter--do not memorize definitions, but know what they mean and how they relate. You may bring a 3x5 note card to the exam. You should know: linear regression equation and how to interpret it meaning of least squared error solution how to interpret a regression output (simple linear and multiple) coefficient of determination coefficient of correlation point estimate and confidence interval for population slope point estimate and confidence intervals for population mean Y vs. prediction intervals for population individual Y interpretation of F-test for linear regression relationship between correlation and slope of regression line how plot of residuals should look if assumptions of linear regression are met
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Unformatted text preview: cautions when using regression interaction vs. multicollinearity in regression interaction model for multiple regression dummy variables when to use logistic regression different control charts - p, x-bar, R when a control chart indicates a process is in and out of statistical control the two types of process variability that could be seen on control charts where UCL and LCL are usually set, in general sigma level capability process capability indices contingency table null and alternative hypotheses for all tests assumptions for all tests interpretation of p-values meaning of chi square test for goodness-of-fit vs. independence difference between observed and expected frequencies This is a selection of main points; it is not complete....
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This note was uploaded on 03/28/2012 for the course GEN BUS 303 taught by Professor Mullins during the Spring '08 term at Wisconsin.

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