Course curriculum

    1. Derivation of Intercept's Estimator using Ordinary Least Squares Method

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    2. Derivation of Slope's Estimator using Ordinary Least Squares Method

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    3. (Optional Lecture) Another Method to Solve for Intercept and Slope's estimator

    4. Different formulas to calculate Slope's estimator

    5. Different formulas to calculate Slope's estimator (Continued)

    6. Useful Results of OLS

    7. Useful Results of OLS (Continued)

    8. Assumptions of Classical Linear Regression Model (CLRM)

    9. Assumptions of CLRM (Continued)

    10. Gauss Markov Theorem: Slope Estimator is Linear

    11. Gauss Markov Theorem: Properties of new non-stochastic variable

    12. Gauss Markov Theorem: Slope Estimator is Unbiased

    13. Gauss Markov Theorem: Slope Estimator is Efficient

    14. Gauss Markov Theorem: Slope Estimator is Efficient (Continued)

    15. List of Questions

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    16. Question 1

    17. Question 2

    18. Question 3

    19. Question 4

    20. Question 5

    21. Question 6

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    22. Question 7

    23. Question 8

    24. Online Coaching (Try at 50% Discount)

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About this course

  • $10.00
  • 25 lessons
  • 4.5 hours of video content