filmov
tv
62. TEN CLRM ASSUMPTIONS | Classical Linear Regression Model Assumptions | (10 important ticks )
Показать описание
#clrm #clrmassumptions #10assumptionsclrm
The classical Linear regression model is one of the important cornerstones of econometrics. It is important to understand the concepts and get hold of important areas.
The estimators that we create through linear regression give us a relationship between the variables. However, performing a regression does not automatically give us a reliable relationship between the variables. In order to create reliable relationships, we must know the properties of the estimators and show that some basic assumptions about the data are true. One must understand that having a good dataset is of enormous importance for applied economic research.
The estimation and hypothesis testing are the twin branches of statistical inference. Based on the OLS, we obtained the sample regression, such as the one shown in Equation.
____________________________________________________
ABOUT ECONOMICS PEDIA: We here at Economics Pedia are to provide you with complete guidance and support regarding all types of competitive examinations with main focus on subject “Economics”, across the country and abroad. We also try to capture the issues and policies impact on economy.
For more update:
SUBSCRIBE to Economics Pedia
Follow us:
WhatsApp contact: 9051981561
Mail us at:
The classical Linear regression model is one of the important cornerstones of econometrics. It is important to understand the concepts and get hold of important areas.
The estimators that we create through linear regression give us a relationship between the variables. However, performing a regression does not automatically give us a reliable relationship between the variables. In order to create reliable relationships, we must know the properties of the estimators and show that some basic assumptions about the data are true. One must understand that having a good dataset is of enormous importance for applied economic research.
The estimation and hypothesis testing are the twin branches of statistical inference. Based on the OLS, we obtained the sample regression, such as the one shown in Equation.
____________________________________________________
ABOUT ECONOMICS PEDIA: We here at Economics Pedia are to provide you with complete guidance and support regarding all types of competitive examinations with main focus on subject “Economics”, across the country and abroad. We also try to capture the issues and policies impact on economy.
For more update:
SUBSCRIBE to Economics Pedia
Follow us:
WhatsApp contact: 9051981561
Mail us at:
0:14:02
62. TEN CLRM ASSUMPTIONS | Classical Linear Regression Model Assumptions | (10 important ticks )
0:33:10
Econometrics Lecture: The Classical Assumptions
0:10:33
Assumptions of Linear Regression
0:10:22
Assumptions of Classical Linear Regression Model P2 | Indian Economic Service| ISS |DSE| ISI| DEPR
0:05:13
2.5. Two-Variable Regression Analysis: Classical linear regression model (CLRM) assumptions
0:19:42
[Econometrics| Assumptions of CLRM | Classical Linear Regression Model | 5 |
0:00:05
OLS working principle in linear regression
0:04:53
Linear Econometrics: Classical Linear Model Assumptions Review
0:09:23
Assumptions of CLRM | Classical Linear Regression Model | Basics of Econometrics | CLRM P4
0:04:41
CLRM Assumptions in Least Square (OLS) Regression
0:27:55
4. Classical Linear Regression Model Assumptions || Dr. Dhaval Maheta
0:00:13
Regression Assumption: constant variance of error
0:26:59
Assumptions of the CLRM | Tinu Iype Jacob I Department of Economics
0:15:40
Regression Assumptions Explained in Detail Part 1 | Econometrics Lecture
0:07:05
Assumptions of Classical linear Regression model
0:29:44
Regression Assumptions | Linear Regression Model Assumptions Part 2
0:27:35
Module 08: Assumptions of Classical Linear Regression
0:33:33
Relaxing the assumptions of CLRM-Autocorrelation and Heteroscedasticity Part - 1
0:14:30
Deriving the Betas in a Bivariate CLRM
0:03:09
Regression model is linear in parameters Assumption CLRM
0:30:15
Relaxing the assumptions of CLRM-Multicollinearity and Autocorrelation Part - 1
0:33:51
Econometrics 29: Assumptions of the classical linear regression model (1)
0:05:43
Assumption of OLS (Ordinary Least Square) | Assumptions of CLRM (Classical Linear Regression Model)
0:12:41
Regression Assumptions Explained in Detail Part 2 | Econometrics
Комментарии