Math 2.0

Resources / course

Regression Analysis A7A4419NPG

URIm2://res/A7A4419NPG
Kindcourse
CreatorsSoumen Maity (instructor)
Date2015-03-06
Scopein

Expressions

e1: edition

Languageen
Date2015-03-06
Contents
  • part 1: Week 1
  • session 1: Simple Linear Regression(Part A)
  • session 2: Simple Linear Regression (Part B)
  • session 3: Simple Linear Regression (Part C)
  • part 2: Week 2
  • session 4: Simple Linear Regression (Part D)
  • session 5: Simple Linear Regression (Part E)
  • session 6: Multiple Linear Regression (Part A)
  • part 3: Week 3
  • session 7: Multiple Linear Regression (Part B)
  • session 8: Multiple Linear Regression (Part C)
  • session 9: Multiple Linear Regression (Part D)
  • part 4: Week 4
  • session 10: Selecting the BEST Regression Model (Part A)
  • session 11: Selecting the BEST Regression Model (Part B)
  • part 5: Week 5
  • session 12: Selecting the BEST Regression Model (Part C)
  • session 13: Selecting the BEST Regression Model (Part D)
  • part 6: Week 6
  • session 14: Multicollinearity (Part A)
  • session 15: Multicollinearity (Part B)
  • session 16: Multicollinearity (Part C)
  • part 7: Week 7
  • session 17: Model Adequacy Checking (Part A)
  • session 18: Model Adequacy Checking (Part B)
  • session 19: Model Adequacy Checking (Part C)
  • part 8: Week 8
  • session 20: Test for Influential Observations
  • session 21: Transformation and Weighting to correct model inadequacies (Part A)
  • part 9: Week 9
  • session 22: Transformation and Weighting to correct model inadequacies (Part B)
  • session 23: Transformation and Weighting to correct model inadequacies (Part C)
  • part 10: Week 10
  • session 24: Dummy Variables (Part A)
  • session 25: Dummy Variables (Part B)
  • session 26: Dummy Variables (Part C)
  • part 11: Week 11
  • session 27: Polynomial Regression Models (Part A)
  • session 28: Polynomial Regression Models (Part B)
  • session 29: Polynomial Regression Models (Part C)
  • part 12: Week 12
  • session 30: Generalized Linear Model (Part A)
  • session 31: Generalized Linear Model (Part B)
  • session 32: Non-Linear Estimation

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