Lab3_Regression Diagonostics

Lab3_Regression - EXST 7015 Statistical Inference II Fall 2011 Lab 3 Simple Linear Regression Regression Diagnostics OBJECTIVES Simple linear

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EXST 7015 - Statistical Inference II, Fall 2011 Lab 3: Simple Linear Regression: Regression Diagnostics OBJECTIVES Simple linear regression (SLR) is a common analysis procedure, used to describe the significant relationship a researcher presumes to exist between two variables: the dependent (or response) variable, and the independent (or explanatory) variable. In previous labs, SLR was performed to fit a straight line model relating two variables. We learned how to interpret parameter estimates and R^2, and how to test specific hypothesis of SLR such as slope test and joint tests. We are also getting familiar with how to evaluate the assumptions of SLR by using residual and normality test. You might realize that a single observation that is substantially different from all other observations can make a large difference in the results of your regression analysis. If a single observation (or small group of observations) substantially changes your results, you would want to know about this and investigate further. In this lab exercise, we will use appropriate regression diagnostics to detect outliers (or unusual observations) besides evaluation of assumption. It is, however, very important to emphasize that simply discarding observations that appears to be outliers is not good statistical practice. LABORATORY INSTRUCTIONS Housekeeping Statements dm 'log; clear; output; clear' ; options nodate nocenter pageno = 1 ls = 78 ps = 53 ; title1 'EXST7015 lab 2, Name, Section#' ; ods rtf file = ‘c:/temp/lab2.rtf’; ods html file = ‘c:/temp/lab2.html’;
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This note was uploaded on 12/29/2011 for the course EXST 7015 taught by Professor Wang,j during the Fall '08 term at LSU.

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Lab3_Regression - EXST 7015 Statistical Inference II Fall 2011 Lab 3 Simple Linear Regression Regression Diagnostics OBJECTIVES Simple linear

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