Postre ligth
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Publicado: 25 de mayo de 2011
Chapter 16
Regression Analysis: Model Building
Learning Objectives
1. Learn how the general linear model can be used to model problems involving curvilinear relationships.
2. Understand theconcept of interaction and how it can be accounted for in the general linear model.
3. Understand how an F test can be used to determine when to add or delete one or more variables.
4. Developan appreciation for the complexities involved in solving larger regression analysis problems.
5. Understand how variable selection procedures can be used to choose a set of independent variablesfor an estimated regression equation.
6. Know how the Durbin-Watson test can be used to test for autocorrelation.
7. Learn how analysis of variance and experimental design problems can be analyzedusing a regression model.
Chapter 16
Regression Analysis: Model Building
Learning Objectives
1. Learn how the general linear model can be used to model problems involving curvilinearrelationships.
2. Understand the concept of interaction and how it can be accounted for in the general linear model.
3. Understand how an F test can be used to determine when to add or delete one ormore variables.
4. Develop an appreciation for the complexities involved in solving larger regression analysis problems.
5. Understand how variable selection procedures can be used to choose aset of independent variables for an estimated regression equation.
6. Know how the Durbin-Watson test can be used to test for autocorrelation.
7. Learn how analysis of variance and experimentaldesign problems can be analyzed using a regression model.
Chapter 16
Regression Analysis: Model Building
Learning Objectives
1. Learn how the general linear model can be used to model problemsinvolving curvilinear relationships.
2. Understand the concept of interaction and how it can be accounted for in the general linear model.
3. Understand how an F test can be used to determine...
Regression Analysis: Model Building
Learning Objectives
1. Learn how the general linear model can be used to model problems involving curvilinear relationships.
2. Understand theconcept of interaction and how it can be accounted for in the general linear model.
3. Understand how an F test can be used to determine when to add or delete one or more variables.
4. Developan appreciation for the complexities involved in solving larger regression analysis problems.
5. Understand how variable selection procedures can be used to choose a set of independent variablesfor an estimated regression equation.
6. Know how the Durbin-Watson test can be used to test for autocorrelation.
7. Learn how analysis of variance and experimental design problems can be analyzedusing a regression model.
Chapter 16
Regression Analysis: Model Building
Learning Objectives
1. Learn how the general linear model can be used to model problems involving curvilinearrelationships.
2. Understand the concept of interaction and how it can be accounted for in the general linear model.
3. Understand how an F test can be used to determine when to add or delete one ormore variables.
4. Develop an appreciation for the complexities involved in solving larger regression analysis problems.
5. Understand how variable selection procedures can be used to choose aset of independent variables for an estimated regression equation.
6. Know how the Durbin-Watson test can be used to test for autocorrelation.
7. Learn how analysis of variance and experimentaldesign problems can be analyzed using a regression model.
Chapter 16
Regression Analysis: Model Building
Learning Objectives
1. Learn how the general linear model can be used to model problemsinvolving curvilinear relationships.
2. Understand the concept of interaction and how it can be accounted for in the general linear model.
3. Understand how an F test can be used to determine...
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