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001 Bonus Lecture.html
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001 Derivation of Intercept's Estimator using Ordinary Least Squares Method.mp4
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27 MB
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001 Derivation of Intercept's Estimator using Ordinary Least Squares Method_en.vtt
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17 KB
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001 List of Questions (Multiple Choice Questions).html
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001 List of Questions.html
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001 Question 1 - Consequences of Heteroscedasticity.mp4
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001 Question 1 - Consequences of Heteroscedasticity_en.vtt
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001 Question 1 - Test 1st Order Autocorrelation (Durbin-Watson d-test).mp4
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50.6 MB
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001 Question 1 - Test 1st Order Autocorrelation (Durbin-Watson d-test)_en.vtt
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9 KB
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001 Question 1.mp4
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11 MB
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001 Question 1_en.vtt
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001 Reading and Using STATA Regression Output - Part 1.mp4
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173.5 MB
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001 Reading and Using STATA Regression Output - Part 1_en.vtt
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002 Derivation of Slope's Estimator using Ordinary Least Squares Method.mp4
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26.7 MB
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002 Derivation of Slope's Estimator using Ordinary Least Squares Method_en.vtt
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002 MCQ Solutions.html
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002 Question 1 - Basic Interpretation.html
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002 Question 1 - Estimation of intercept when slope coefficient is zero.mp4
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15 MB
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002 Question 1 - Estimation of intercept when slope coefficient is zero_en.vtt
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002 Question 1 - Perfect Collinearity (Exact Linear Relationship) among regressors.mp4
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48.6 MB
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002 Question 1 - Perfect Collinearity (Exact Linear Relationship) among regressors_en.vtt
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10.7 KB
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002 Question 1 - Relationship between adjusted R2 and R2.mp4
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7.3 MB
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002 Question 1 - Relationship between adjusted R2 and R2_en.vtt
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002 Question 1 - p-value and Null Hypothesis.mp4
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2.5 MB
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002 Question 1 - p-value and Null Hypothesis_en.vtt
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1 KB
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002 Question 2 - Assumptions underlying Durbin Watson d-test.mp4
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9.6 MB
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002 Question 2 - Assumptions underlying Durbin Watson d-test_en.vtt
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002 Question 2 - White's test for Heteroscedasticity.mp4
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142 MB
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002 Question 2 - White's test for Heteroscedasticity_en.vtt
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20 KB
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002 Question 2.mp4
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14.7 MB
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002 Question 2_en.vtt
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002 Reading and Using STATA Regression Output - Part 2 (ANOVA Table).mp4
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78.4 MB
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002 Reading and Using STATA Regression Output - Part 2 (ANOVA Table)_en.vtt
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11 KB
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003 (Optional Lecture) Another Method to Solve for Intercept and Slope's estimator.mp4
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12.7 MB
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003 (Optional Lecture) Another Method to Solve for Intercept and Slope's estimator_en.vtt
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003 Question 2 - Does a high value of R2 means you have a good model.mp4
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11.7 MB
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003 Question 2 - Does a high value of R2 means you have a good model_en.vtt
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003 Question 2 - Dummy variable trap.html
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003 Question 2 - Location of sample regression line.mp4
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20.5 MB
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003 Question 2 - Location of sample regression line_en.vtt
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003 Question 2 - Perfect Collinearity (Exact Linear Relationship) among regressors.mp4
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32.2 MB
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003 Question 2 - Perfect Collinearity (Exact Linear Relationship) among regressors_en.vtt
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7.3 KB
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003 Question 2 - Which test statistic to use for hypothesis testing.html
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614.4 B
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003 Question 3 - Test 1st Order Autocorrelation (Durbin-Watson d-test).mp4
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36 MB
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003 Question 3 - Test 1st Order Autocorrelation (Durbin-Watson d-test)_en.vtt
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6.6 KB
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003 Question 3 - Transform the regression equation to deal with Heteroscedasticity.mp4
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77 MB
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003 Question 3 - Transform the regression equation to deal with Heteroscedasticity_en.vtt
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003 Question 3.mp4
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003 Question 3_en.vtt
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004 Different formulas to calculate Slope's estimator.mp4
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11 MB
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004 Different formulas to calculate Slope's estimator_en.vtt
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004 Question 3 - Can adjusted R2 be negative.html
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2.3 KB
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004 Question 3 - Dummy variable trap.html
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004 Question 3 - Perfect Collinearity (Exact Linear Relationship) among regressors.html
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102.4 B
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004 Question 3 - Power of Test.mp4
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92.3 MB
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004 Question 3 - Power of Test_en.vtt
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004 Question 3 - Regression doesn't imply causation.html
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1.5 KB
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004 Question 4 - Presence of Positive Autocorrelation.html
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004 Question 4 - Transform the regression equation to deal with Heteroscedasticity.mp4
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65.1 MB
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004 Question 4 - Transform the regression equation to deal with Heteroscedasticity_en.vtt
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004 Question 4.mp4
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8 MB
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004 Question 4_en.vtt
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005 Different formulas to calculate Slope's estimator (Continued).mp4
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15 MB
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005 Different formulas to calculate Slope's estimator (Continued)_en.vtt
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12.7 KB
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005 Question 4 - Calculate the value of intercept and slope estimator.mp4
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14.8 MB
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005 Question 4 - Calculate the value of intercept and slope estimator_en.vtt
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5 KB
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005 Question 4 - Dummy variables for 4 quarters.html
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409.6 B
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005 Question 4 - High Multicollinearity.html
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512 B
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005 Question 4 - Interpretation of Confidence Interval.html
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716.8 B
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005 Question 4 - Value of R2 on adding an insignificant and unimportant variable.html
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2.4 KB
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005 Question 5 - Test 1st Order Autocorrelation (Durbin-Watson d-test).html
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102.4 B
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005 Question 5.mp4
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15.2 MB
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005 Question 5_en.vtt
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006 Question 5 - Confidence Interval,Interpretation of slope coefficient & R-squared.mp4
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121.7 MB
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006 Question 5 - Confidence Interval,Interpretation of slope coefficient & R-squared_en.vtt
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25.2 KB
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006 Question 5 - R2 in regression through origin models.html
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614.4 B
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006 Question 6 - Testing for Autocorrelation - Breusch Godfrey Test.mp4
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101.6 MB
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006 Question 6 - Testing for Autocorrelation - Breusch Godfrey Test_en.vtt
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006 Question 6 - Transforming Dependent & Independent variable by adding a constant.mp4
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153.2 MB
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006 Question 6 - Transforming Dependent & Independent variable by adding a constant_en.vtt
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006 Useful Results of OLS.mp4
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13.9 MB
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006 Useful Results of OLS_en.vtt
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007 Question 6 - ANOVA Table and Adjusted R squared.mp4
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30.6 MB
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007 Question 6 - ANOVA Table and Adjusted R squared_en.vtt
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007 Question 6 - Calculate OLS estimators, standard error of regression & R-squared.mp4
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78.6 MB
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007 Question 6 - Calculate OLS estimators, standard error of regression & R-squared_en.vtt
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14.6 KB
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007 Question 7 - Changing the values of dummy variable and statistical significance.mp4
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200.9 MB
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007 Question 7 - Changing the values of dummy variable and statistical significance_en.vtt
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39.3 KB
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007 Useful Results of OLS (Continued).mp4
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12.4 MB
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007 Useful Results of OLS (Continued)_en.vtt
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008 Assumptions of Classical Linear Regression Model (CLRM).mp4
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55.5 MB
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008 Assumptions of Classical Linear Regression Model (CLRM)_en.vtt
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008 Question 7 - ANOVA Table, Test of Overall Significance and Adjusted R-Squared.mp4
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151.9 MB
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008 Question 7 - ANOVA Table, Test of Overall Significance and Adjusted R-Squared_en.vtt
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26.2 KB
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008 Question 7 - What if expected value of the population error term is not zero.html
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008 Question 8 Covariance between sample error and independent variable.mp4
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101.9 MB
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008 Question 8 Covariance between sample error and independent variable_en.vtt
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009 Assumptions of CLRM (Continued).mp4
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65.5 MB
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009 Assumptions of CLRM (Continued)_en.vtt
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009 Question 8 - Interpretation of coefficients and Test of Overall Significance.mp4
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97.6 MB
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009 Question 8 - Interpretation of coefficients and Test of Overall Significance_en.vtt
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009 Question 9.mp4
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009 Question 9_en.vtt
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009 Share your experience.html
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010 Question 10.mp4
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81.4 MB
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010 Question 10_en.vtt
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010 Question 9 - Interpretation of log-log model and Test of Overall Significance.mp4
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93.3 MB
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010 Question 9 - Interpretation of log-log model and Test of Overall Significance_en.vtt
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18.4 KB
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010 What is Gauss Markov Theorem.mp4
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92.2 MB
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010 What is Gauss Markov Theorem_en.vtt
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011 Gauss Markov Theorem Slope Estimator is Linear.mp4
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43.6 MB
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011 Gauss Markov Theorem Slope Estimator is Linear_en.vtt
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011 Question 10 - Restricted, Unrestricted Model and F-test.mp4
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77.6 MB
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011 Question 10 - Restricted, Unrestricted Model and F-test_en.vtt
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011 Question 11.mp4
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64.9 MB
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011 Question 11_en.vtt
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012 Gauss Markov Theorem Properties of new non-stochastic variable.mp4
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18.5 MB
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012 Gauss Markov Theorem Properties of new non-stochastic variable_en.vtt
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012 Question 11 - Joint Hypothesis Test and Interpretation of lin-log model.mp4
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83.6 MB
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012 Question 11 - Joint Hypothesis Test and Interpretation of lin-log model_en.vtt
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20 KB
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013 Gauss Markov Theorem Slope Estimator is Unbiased.mp4
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68.5 MB
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013 Gauss Markov Theorem Slope Estimator is Unbiased_en.vtt
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16.6 KB
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013 Question 12 - Working with log-log functional form and t-test.mp4
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71.4 MB
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013 Question 12 - Working with log-log functional form and t-test_en.vtt
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014 Gauss Markov Theorem Slope Estimator is Efficient.mp4
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89.5 MB
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014 Gauss Markov Theorem Slope Estimator is Efficient_en.vtt
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014 Question 13 - Slope and Elasticity of various functional forms.mp4
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23.6 MB
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014 Question 13 - Slope and Elasticity of various functional forms_en.vtt
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015 Gauss Markov Theorem Slope Estimator is Efficient (Continued).mp4
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134 MB
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015 Gauss Markov Theorem Slope Estimator is Efficient (Continued)_en.vtt
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29.3 KB
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015 Question 14 - Hypothesis testing using the relationship between t and F.mp4
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126.2 MB
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015 Question 14 - Hypothesis testing using the relationship between t and F_en.vtt
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016 Question 15 - Correlation between fitted values and residuals.mp4
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81.9 MB
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016 Question 15 - Correlation between fitted values and residuals_en.vtt
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18.4 KB
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017 Question 16 - Numerator and Denominator Degrees of Freedom in F-test.html
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3 KB
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018 Question 17 - Interpretation of slope coefficient in log-lin model.html
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819.2 B
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019 Question 18 - Interpretation of slope coefficient in lin-log model.html
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716.8 B
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020 Question 19 - Don't take 'logs' on the variables under this scenario.html
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614.4 B
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25391121-Complete-List-of-Questions-SLR.pdf
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PDF
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79.9 KB
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25411195-Complete-List-of-Questions-MLR.pdf
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PDF
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140.8 KB
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25487847-Complete-List-of-Questions-Dummy-Variables.pdf
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PDF
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43.2 KB
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25576264-Complete-List-of-Questions-Multicollinearity.pdf
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45.6 KB
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Bonus Resources.txt
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TXT
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409.6 B
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Get Bonus Downloads Here.url
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URL
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204.8 B
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