Learn · Applied Statistics and Econometrics

Lecture 40 of 42Week 12: R-Software Sessions

Lecture 41: Regression Involving Dummy Variables in R

Prof. Deep Mukherjee · IIT Kanpur

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Applied Statistics and Econometrics, IIT Kanpur (at NPTEL)
Licence
CC BY-NC-SA, as NPTEL states it. Non-commercial use only.
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NPTEL states: "Distributed under Creative Commons Attribution-ShareAlike / CC BY - NC - SA", beside a BY-NC-SA badge.
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All the lectures

  1. Lecture 1: Introduction to Statistics Video
  2. Lecture 2: Introduction to Econometrics Video
  3. Lecture 3: Organization & Presentation of Data Video
  4. Lecture 4: Summarizing Data through Descriptive Statistics Video
  5. Lecture 5: Discrete Random Variable & Probability Distribution Video
  6. Lecture 6: Continuous Random Variables & Probability Distribution Video
  7. Lecture 7: Normal Distribution Video
  8. Lecture 8: Introduction to Statistical Inference Video
  9. Lecture 9: Estimation (Part I) Video
  10. Lecture 10: Estimation (Part II) Video
  11. Lecture 11: Hypothesis Testing (Part I) Video
  12. Lecture 12: Hypothesis Testing (Part II) Video
  13. Lecture 13: Hypothesis Testing (Part III) Video
  14. Lecture 14: Hypothesis Testing (Part IV) Video
  15. Lecture 15: Relationship between Qualitative Variables Video
  16. Lecture 16: Relationship Between Quantitative Variables Video
  17. Lecture 17: Analysis of Variance Video
  18. Lecture 18: One Way ANOVA Video
  19. Lecture 19: Two Way ANOVA Video
  20. Lecture 20: Analysis of Covariance Video
  21. Lecture 21: Index Number (Part I) Video
  22. Lecture 22: Index Numbers (Part II) Video
  23. Lecture 23: Classical Time Series Analysis (Part I) Video
  24. Lecture 24: Classical Time Series Analysis (Part II) Video
  25. Lecture 25: Classical Linear Regression Model (Part-I) Video
  26. Lecture 26: Classical Linear Regression Model (Part-II) Video
  27. Lecture 28: Hypothesis Testing with CNLRM Video
  28. Lecture 29: More on Hypothesis Testing and Model Specification Video
  29. Lecture 30: Violations of CLRM Assumptions (Heteroskedasticity) Video
  30. Lecture 31: Violations of CLRM Assumptions (Autocorrelation and Multicollinearity) Video
  31. Lecture 32: Time Series Regression with Stationary Data Video
  32. Lecture 33: Time Series Regression with Non-Stationary Data Video
  33. Lecture 34: Regression with Dummy Explanatory Variable Video
  34. Lecture 35: Dummy Dependent Variable Models (Part-I) Video
  35. Lecture 36: Dummy Dependent Variable Models (Part-II) Video
  36. Lecture 37: Simultaneous Equations Model Video
  37. Lecture 38: Panel Data Regression Video
  38. Lecture 39: Program Evaluation Video
  39. Lecture 40: Data Analysis and Regression with R Video
  40. Lecture 41: Regression Involving Dummy Variables in R Video
  41. Lecture 42: Time Series Analysis in R Video
  42. Live Session 10-02-2024 Video