Multiple Regression Model

preview_player
Показать описание
Multiple Regression Model

Timestamps:
00:00 Multiple Regression Model
01:00 Multiple regression terminology
06:10 Examples and interpretation of coefficients
11:40 Derivation of OLS estimates, OLS properties, partialling out
21:06 Goodness of fit: R-squared and adjusted R-squared
34:44 Gauss Markov assumptions
36:58 Perfect collinearity vs multicollinearity
55:47 Unbiasedness of OLS estimators (omitted variable bias)
1:15:41 Variance of OLS estimators (variance in misspecified models)
1:26:00 Gauss-Markov theorem (BLUE)

Econometrics Academy:
  1. econometricsacademy
  2. multiple regression model
  3. multiple regression
  4. regression
  5. OLS
  6. coefficients
Рекомендации по теме
Multiple Regression, Clearly 0:05:25

Multiple Regression, Clearly Explained!!!

Multiple Regression Models 0:34:38

Multiple Regression Models || Data Analysis and Modelling || Case Study (2015 and 2011 Spring)

Simple and Multiple 0:13:38

Simple and Multiple Linear Regression

Multiple Regression in 0:07:43

Multiple Regression in R, Step by Step!!!

Multiple linear regression 0:15:08

Multiple linear regression - explained with two simple examples

Multiple Regression - 0:11:36

Multiple Regression - Interpretation (3of3)

Excel Multiple Regression 0:06:33

Excel Multiple Regression

Multiple Regression Model 1:29:39

Multiple Regression Model

Multiple Linear Regression 0:25:22

Multiple Linear Regression | aka MLR | Simultaneous Relationships in Data | Demo of Scientific CalC

Multiple Regression | 0:08:06

Multiple Regression | Coefficients – Interpretation, C.I, Hypothesis Testing

Multiple Regression from 0:33:07

Multiple Regression from beginning to end in 30 minutes.

17.1 Multiple Regression 0:06:20

17.1 Multiple Regression | Einführung

Multiple Linear Regression 0:42:24

Multiple Linear Regression By Hand (formula): Solved Problem

Regression Analysis | 0:45:17

Regression Analysis | Full Course

Multiple Linear Regression 0:08:10

Multiple Linear Regression Solved Numerical Example in Machine Learning Data Mining by Mahesh Huddar

Multiple Regression: Two 0:27:19

Multiple Regression: Two Independent Variables Case - Part 1

Matrix Approach to 0:10:14

Matrix Approach to Multiple Linear Regression

Multiple Regression in 0:11:02

Multiple Regression in Excel

Regression: Crash Course 0:12:40

Regression: Crash Course Statistics #32

Multiple Linear Regression 0:32:24

Multiple Linear Regression Model

Multiple Linear Regression 0:14:54

Multiple Linear Regression in SPSS with Assumption Testing

Machine Learning Tutorial 0:14:08

Machine Learning Tutorial Python - 3: Linear Regression Multiple Variables

Multiple Linear Regression 0:11:32

Multiple Linear Regression Model Introduction

Learn Statistical Regression 0:40:25

Learn Statistical Regression in 40 mins! My best video ever. Legit.

Комментарии
Автор

taking econometrics this semester and finding your videos has been extremely helpful in summarizing the material and presenting in a better flow that my professor hasn't managed to do so well

maifilms
Автор

Excellent explanation, she has explained each and every point so beautifully. Thanks!!

sandipprabhu
Автор

You can't really imagine how your work is valuable and helpful for us. Thanks a lot

hyknwvx
Автор

your explanation is wonderful, I learnt so much from your lecture rather than from my teacher

trietleminh
Автор

Thank you for such a wonderful explanation on OMITTED VARIABLE BIAS.

neetikashree
Автор

Extremely nice and detailed explanation. Thank you very much!

asad_rez
Автор

Good to see you, Ani. I was waiting for new videos.

sahilnarang
Автор

OMG thank you very much for this video! it is very helpful, help me understand a lot that I don't understand in class hahahahaha good job!

kevinsoffice
Автор

Hi Ani. I really enjoy your videos as they are very helpful. I have a few questions. Thanks.

@14:04: Are the betas in the math equation supposed to have hats? If not, then please explain..
@15:24: Is the third term of the top mean equation supposed to be betahat2 and not 1? It looks like a repeat.

jonk