'Perfect collinearity' diaporamas de présentation

Heteroske...what?

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405 ECONOMETRICS

405 ECONOMETRICS Chapter # 11 : MULTICOLLINEARITY: WHAT HAPPENS IF THE REGRESSORS ARE CORRELATED? Domodar N. Gujarati. In this chapter we take a critical look at this assumption by seeking answers to the following questions: 1. What is the nature of multicollinearity?

762 views • 44 slides

EED 401: ECONOMETRICS

EED 401: ECONOMETRICS Chapter # 11 : MULTICOLLINEARITY: WHAT HAPPENS IF THE REGRESSORS ARE CORRELATED? Domodar N. Gujarati. Haruna Issahaku. In this chapter we take a critical look at this assumption by seeking answers to the following questions: 1. What is the nature of multicollinearity?

1.53k views • 41 slides

EED 401: ECONOMETRICS

EED 401: ECONOMETRICS Chapter # 11 : MULTICOLLINEARITY: WHAT HAPPENS IF THE REGRESSORS ARE CORRELATED? Domodar N. Gujarati. Haruna Issahaku. In this chapter we take a critical look at this assumption by seeking answers to the following questions: 1. What is the nature of multicollinearity?

414 views • 41 slides

More Multiple Regression

More Multiple Regression. Dummy coding. 0s and 1s k-1 IVs will go into the regression equation leaving out one reference category (e.g. control) Note that with only 2 categories the common 0-1 classification is sufficient to use directly in MR

448 views • 34 slides

7 Dummy Variables

7 Dummy Variables. Thus far, we have only considered variables with a QUANTITATIVE MEANING -ie: dollars, population, utility, etc. In this chapter we will cover variables with a QUALITATIVE meaning -ie: gender, location, race, specific knowledge or attribute. 7. Dummy Variables.

668 views • 23 slides

CHAPTER 4

CHAPTER 4. REGRESSION DIAGNOSTIC I: MULTICOLLINEARITY. MULTICOLLINEARITY. One of the assumptions of the classical linear regression (CLRM) is that there is no exact linear relationship among the regressors.

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CHAPTER 4

CHAPTER 4. REGRESSION DIAGNOSTIC I: MULTICOLLINEARITY. MULTICOLLINEARITY. One of the assumptions of the classical linear regression (CLRM) is that there is no exact linear relationship among the regressors.

73 views • 7 slides