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Language:
English
Total Size:
3.4 GB
Info Hash:
A56F20845A07855C34D49EF8F7FBB416494D9EBC
Added By:
Added:
Oct. 24, 2023, 1:18 a.m.
Stats:
|
(Last updated: May 16, 2025, 4:47 a.m.)
| File | Size |
|---|---|
| Get Bonus Downloads Here.url | 179 bytes |
| 001 Reading and Using STATA Regression Output - Part 1.mp4 | 173.5 MB |
| 001 Reading and Using STATA Regression Output - Part 1_en.vtt | 25.4 KB |
| 002 Reading and Using STATA Regression Output - Part 2 (ANOVA Table).mp4 | 78.4 MB |
| 002 Reading and Using STATA Regression Output - Part 2 (ANOVA Table)_en.vtt | 11.0 KB |
| 001 List of Questions.html | 1.5 KB |
| 002 Question 1 - p-value and Null Hypothesis.mp4 | 2.5 MB |
| 002 Question 1 - p-value and Null Hypothesis_en.vtt | 1.0 KB |
| 003 Question 2 - Which test statistic to use for hypothesis testing.html | 658 bytes |
| 004 Question 3 - Power of Test.mp4 | 92.3 MB |
| 004 Question 3 - Power of Test_en.vtt | 17.7 KB |
| 005 Question 4 - Interpretation of Confidence Interval.html | 666 bytes |
| 001 List of Questions.html | 551 bytes |
| 002 Question 1 - Estimation of intercept when slope coefficient is zero.mp4 | 15.0 MB |
| 002 Question 1 - Estimation of intercept when slope coefficient is zero_en.vtt | 5.2 KB |
| 003 Question 2 - Location of sample regression line.mp4 | 20.5 MB |
| 003 Question 2 - Location of sample regression line_en.vtt | 7.4 KB |
| 004 Question 3 - Regression doesn't imply causation.html | 1.5 KB |
| 005 Question 4 - Calculate the value of intercept and slope estimator.mp4 | 14.8 MB |
| 005 Question 4 - Calculate the value of intercept and slope estimator_en.vtt | 5.0 KB |
| 006 Question 5 - Confidence Interval,Interpretation of slope coefficient & R-squared.mp4 | 121.7 MB |
| 006 Question 5 - Confidence Interval,Interpretation of slope coefficient & R-squared_en.vtt | 25.2 KB |
| 007 Question 6 - Calculate OLS estimators, standard error of regression & R-squared.mp4 | 78.6 MB |
| 007 Question 6 - Calculate OLS estimators, standard error of regression & R-squared_en.vtt | 14.6 KB |
| 008 Question 7 - What if expected value of the population error term is not zero.html | 1.2 KB |
| 009 Share your experience.html | 888 bytes |
| 25391121-Complete-List-of-Questions-SLR.pdf | 79.9 KB |
| 001 Derivation of Intercept's Estimator using Ordinary Least Squares Method.mp4 | 27.0 MB |
| 001 Derivation of Intercept's Estimator using Ordinary Least Squares Method_en.vtt | 17.0 KB |
| 002 Derivation of Slope's Estimator using Ordinary Least Squares Method.mp4 | 26.7 MB |
| 002 Derivation of Slope's Estimator using Ordinary Least Squares Method_en.vtt | 16.6 KB |
| 003 (Optional Lecture) Another Method to Solve for Intercept and Slope's estimator.mp4 | 12.7 MB |
| 003 (Optional Lecture) Another Method to Solve for Intercept and Slope's estimator_en.vtt | 10.5 KB |
| 004 Different formulas to calculate Slope's estimator.mp4 | 11.0 MB |
| 004 Different formulas to calculate Slope's estimator_en.vtt | 10.1 KB |
| 005 Different formulas to calculate Slope's estimator (Continued).mp4 | 15.0 MB |
| 005 Different formulas to calculate Slope's estimator (Continued)_en.vtt | 12.7 KB |
| 006 Useful Results of OLS.mp4 | 13.9 MB |
| 006 Useful Results of OLS_en.vtt | 12.2 KB |
| 007 Useful Results of OLS (Continued).mp4 | 12.4 MB |
| 007 Useful Results of OLS (Continued)_en.vtt | 10.4 KB |
| 008 Assumptions of Classical Linear Regression Model (CLRM).mp4 | 55.5 MB |
| 008 Assumptions of Classical Linear Regression Model (CLRM)_en.vtt | 15.7 KB |
| 009 Assumptions of CLRM (Continued).mp4 | 65.5 MB |
| 009 Assumptions of CLRM (Continued)_en.vtt | 17.3 KB |
| 010 What is Gauss Markov Theorem.mp4 | 92.2 MB |
| 010 What is Gauss Markov Theorem_en.vtt | 14.6 KB |
| 011 Gauss Markov Theorem Slope Estimator is Linear.mp4 | 43.6 MB |
| 011 Gauss Markov Theorem Slope Estimator is Linear_en.vtt | 15.6 KB |
| 012 Gauss Markov Theorem Properties of new non-stochastic variable.mp4 | 18.5 MB |
| 012 Gauss Markov Theorem Properties of new non-stochastic variable_en.vtt | 7.5 KB |
| 013 Gauss Markov Theorem Slope Estimator is Unbiased.mp4 | 68.5 MB |
| 013 Gauss Markov Theorem Slope Estimator is Unbiased_en.vtt | 16.6 KB |
| 014 Gauss Markov Theorem Slope Estimator is Efficient.mp4 | 89.5 MB |
| 014 Gauss Markov Theorem Slope Estimator is Efficient_en.vtt | 18.8 KB |
| 015 Gauss Markov Theorem Slope Estimator is Efficient (Continued).mp4 | 134.0 MB |
| 015 Gauss Markov Theorem Slope Estimator is Efficient (Continued)_en.vtt | 29.3 KB |
| 001 List of Questions.html | 91 bytes |
| 002 Question 1 - Relationship between adjusted R2 and R2.mp4 | 7.3 MB |
| 002 Question 1 - Relationship between adjusted R2 and R2_en.vtt | 2.6 KB |
| 003 Question 2 - Does a high value of R2 means you have a good model.mp4 | 11.7 MB |
| 003 Question 2 - Does a high value of R2 means you have a good model_en.vtt | 3.2 KB |
| 004 Question 3 - Can adjusted R2 be negative.html | 2.2 KB |
| 005 Question 4 - Value of R2 on adding an insignificant and unimportant variable.html | 2.4 KB |
| 006 Question 5 - R2 in regression through origin models.html | 641 bytes |
| 007 Question 6 - ANOVA Table and Adjusted R squared.mp4 | 30.6 MB |
| 007 Question 6 - ANOVA Table and Adjusted R squared_en.vtt | 7.3 KB |
| 008 Question 7 - ANOVA Table, Test of Overall Significance and Adjusted R-Squared.mp4 | 151.9 MB |
| 008 Question 7 - ANOVA Table, Test of Overall Significance and Adjusted R-Squared_en.vtt | 26.2 KB |
| 009 Question 8 - Interpretation of coefficients and Test of Overall Significance.mp4 | 97.6 MB |
| 009 Question 8 - Interpretation of coefficients and Test of Overall Significance_en.vtt | 16.7 KB |
| 010 Question 9 - Interpretation of log-log model and Test of Overall Significance.mp4 | 93.3 MB |
| 010 Question 9 - Interpretation of log-log model and Test of Overall Significance_en.vtt | 18.4 KB |
| 011 Question 10 - Restricted, Unrestricted Model and F-test.mp4 | 77.6 MB |
| 011 Question 10 - Restricted, Unrestricted Model and F-test_en.vtt | 17.7 KB |
| 012 Question 11 - Joint Hypothesis Test and Interpretation of lin-log model.mp4 | 83.6 MB |
| 012 Question 11 - Joint Hypothesis Test and Interpretation of lin-log model_en.vtt | 20.0 KB |
| 013 Question 12 - Working with log-log functional form and t-test.mp4 | 71.4 MB |
| 013 Question 12 - Working with log-log functional form and t-test_en.vtt | 12.6 KB |
| 014 Question 13 - Slope and Elasticity of various functional forms.mp4 | 23.6 MB |
| 014 Question 13 - Slope and Elasticity of various functional forms_en.vtt | 7.1 KB |
| 015 Question 14 - Hypothesis testing using the relationship between t and F.mp4 | 126.2 MB |
| 015 Question 14 - Hypothesis testing using the relationship between t and F_en.vtt | 29.6 KB |
| 016 Question 15 - Correlation between fitted values and residuals.mp4 | 81.9 MB |
| 016 Question 15 - Correlation between fitted values and residuals_en.vtt | 18.4 KB |
| 017 Question 16 - Numerator and Denominator Degrees of Freedom in F-test.html | 3.0 KB |
| 018 Question 17 - Interpretation of slope coefficient in log-lin model.html | 814 bytes |
| 019 Question 18 - Interpretation of slope coefficient in lin-log model.html | 759 bytes |
| 020 Question 19 - Don't take 'logs' on the variables under this scenario.html | 577 bytes |
| 25411195-Complete-List-of-Questions-MLR.pdf | 140.8 KB |
| 001 List of Questions.html | 91 bytes |
| 002 Question 1 - Basic Interpretation.html | 912 bytes |
| 003 Question 2 - Dummy variable trap.html | 2.7 KB |
| 004 Question 3 - Dummy variable trap.html | 774 bytes |
| 005 Question 4 - Dummy variables for 4 quarters.html | 375 bytes |
| 25487847-Complete-List-of-Questions-Dummy-Variables.pdf | 43.2 KB |
| 001 List of Questions.html | 91 bytes |
| 002 Question 1 - Perfect Collinearity (Exact Linear Relationship) among regressors.mp4 | 48.6 MB |
| 002 Question 1 - Perfect Collinearity (Exact Linear Relationship) among regressors_en.vtt | 10.7 KB |
| 003 Question 2 - Perfect Collinearity (Exact Linear Relationship) among regressors.mp4 | 32.2 MB |
| 003 Question 2 - Perfect Collinearity (Exact Linear Relationship) among regressors_en.vtt | 7.3 KB |
| 004 Question 3 - Perfect Collinearity (Exact Linear Relationship) among regressors.html | 125 bytes |
| 005 Question 4 - High Multicollinearity.html | 473 bytes |
| 25576264-Complete-List-of-Questions-Multicollinearity.pdf | 45.6 KB |
| 001 Question 1 - Consequences of Heteroscedasticity.mp4 | 12.2 MB |
| 001 Question 1 - Consequences of Heteroscedasticity_en.vtt | 2.1 KB |
| 002 Question 2 - White's test for Heteroscedasticity.mp4 | 142.0 MB |
| 002 Question 2 - White's test for Heteroscedasticity_en.vtt | 20.0 KB |
| 003 Question 3 - Transform the regression equation to deal with Heteroscedasticity.mp4 | 77.0 MB |
| 003 Question 3 - Transform the regression equation to deal with Heteroscedasticity_en.vtt | 21.9 KB |
| 004 Question 4 - Transform the regression equation to deal with Heteroscedasticity.mp4 | 65.1 MB |
| 004 Question 4 - Transform the regression equation to deal with Heteroscedasticity_en.vtt | 15.8 KB |
| 001 Question 1 - Test 1st Order Autocorrelation (Durbin-Watson d-test).mp4 | 50.6 MB |
| 001 Question 1 - Test 1st Order Autocorrelation (Durbin-Watson d-test)_en.vtt | 9.0 KB |
| 002 Question 2 - Assumptions underlying Durbin Watson d-test.mp4 | 9.6 MB |
| 002 Question 2 - Assumptions underlying Durbin Watson d-test_en.vtt | 1.4 KB |
| 003 Question 3 - Test 1st Order Autocorrelation (Durbin-Watson d-test).mp4 | 36.0 MB |
| 003 Question 3 - Test 1st Order Autocorrelation (Durbin-Watson d-test)_en.vtt | 6.6 KB |
| 004 Question 4 - Presence of Positive Autocorrelation.html | 773 bytes |
| 005 Question 5 - Test 1st Order Autocorrelation (Durbin-Watson d-test).html | 150 bytes |
| 006 Question 6 - Testing for Autocorrelation - Breusch Godfrey Test.mp4 | 101.6 MB |
| 006 Question 6 - Testing for Autocorrelation - Breusch Godfrey Test_en.vtt | 17.2 KB |
| 001 List of Questions (Multiple Choice Questions).html | 1.7 KB |
| 002 MCQ Solutions.html | 3.2 KB |
| 001 Question 1.mp4 | 11.0 MB |
| 001 Question 1_en.vtt | 6.1 KB |
| 002 Question 2.mp4 | 14.7 MB |
| 002 Question 2_en.vtt | 4.6 KB |
| 003 Question 3.mp4 | 8.6 MB |
| 003 Question 3_en.vtt | 5.5 KB |
| 004 Question 4.mp4 | 8.0 MB |
| 004 Question 4_en.vtt | 4.3 KB |
| 005 Question 5.mp4 | 15.2 MB |
| 005 Question 5_en.vtt | 8.2 KB |
| 006 Question 6 - Transforming Dependent & Independent variable by adding a constant.mp4 | 153.2 MB |
| 006 Question 6 - Transforming Dependent & Independent variable by adding a constant_en.vtt | 32.3 KB |
| 007 Question 7 - Changing the values of dummy variable and statistical significance.mp4 | 200.9 MB |
| 007 Question 7 - Changing the values of dummy variable and statistical significance_en.vtt | 39.3 KB |
| 008 Question 8 Covariance between sample error and independent variable.mp4 | 101.9 MB |
| 008 Question 8 Covariance between sample error and independent variable_en.vtt | 30.2 KB |
| 009 Question 9.mp4 | 143.8 MB |
| 009 Question 9_en.vtt | 25.9 KB |
| 010 Question 10.mp4 | 81.4 MB |
| 010 Question 10_en.vtt | 18.7 KB |
| 011 Question 11.mp4 | 64.9 MB |
| 011 Question 11_en.vtt | 20.2 KB |
| 001 Bonus Lecture.html | 2.4 KB |
| Bonus Resources.txt | 386 bytes |
Name
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| Uploaded by FreeCourseWeb | Size 1.2 GB | Health [ 12 /1 ] | Added 2023-10-30 |
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| Uploaded by freecoursewb | Size 626.7 MB | Health [ 0 /0 ] | Added 2023-06-02 |
NOTE
SOURCE: Udemy Econometrics Solved Questions and Mathematical Proofs
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