final_review

Simple linear regression model fitting r2 vs slope

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Unformatted text preview: on, assumptions, residuals, confidence interval, prediction interval, - Extra- sum- of squares: Simple linear regression vs ANOVA=> lack of fit test - R2 in simple linear regression model fitting, R2 vs slope, Multiple linear regression: - Multiple linear regression: what does “linear” mean? What does “multiple” means? - data exploration; Assumptions; inferences about the coefficients - Extra- sum- of- squares: complicated linear regression or reduced linear regression? - Interpreting Regression Coefficients - Specially Constructed Explanatory Variables – Polynomial Regressions/ Dummy variable - Interaction - Strategy and approaches for variable selection- forward/backward/all subsets (cp, aic) - Case- influence statistics ( cook’s D/studentized residual/leverage) Two- way...
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This note was uploaded on 01/14/2014 for the course ABE 613 taught by Professor An during the Fall '13 term at Arizona.

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