This preview shows pages 1–10. Sign up to view the full content.
This preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full DocumentThis preview has intentionally blurred sections. Sign up to view the full version.
View Full Document
Unformatted text preview: SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression Hypothesis Testing in Context of Regression Analysis SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression 1. Testing Individual Significance of Regression Coefficients A. Should X k be included in the regression equation? Does it have any effect on Y ? SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression 1. Testing Individual Significance of Regression Coefficients A. Should X k be included in the regression equation? Does it have any effect on Y ? B. t test in the context of regression analysis: H : k = 0 vs. H 1 : k 0 (whether k is significantly different from zero) SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression 1. Testing Individual Significance of Regression Coefficients A. Should X k be included in the regression equation? Does it have any effect on Y ? B. t test in the context of regression analysis: H : k = 0 vs. H 1 : k 0 (whether k is significantly different from zero) Under H , Decision rule: , critical value, and pvalue of the calculated t statistic. ) ,..., 2 , 1 , ( ~ ) ( ) 1 ( K k t se K N k k SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression 1. Testing Individual Significance of Regression Coefficients C. [Example] SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression 2. Testing Joint Significance of Regression Coefficients A. Test of the Overall Significance of the Estimated Multiple Regression B. [Hypothesis] SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression 2. Testing Joint Significance of Regression Coefficients A. Test of the Overall Significance of the Estimated Multiple Regression B. [Hypothesis] H : 1 = 2 = = K = 0 or equivalently H : R 2 = 0 SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression SUNY at Albany  Department of Economics Eco 320 Economic Statistics Regression 2. Testing Joint Significance of Regression Coefficients A. Test of the Overall Significance of the Estimated Multiple Regression B. [Hypothesis] H : 1 = 2 = = K = 0 or equivalently H : R 2...
View
Full
Document
This note was uploaded on 02/08/2012 for the course ECON 320 taught by Professor Chan during the Spring '11 term at SUNY Albany.
 Spring '11
 Chan
 Economics

Click to edit the document details