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2.2 The Statistical Sommelier: An Introduction to Linear Regression (M-I-T)

(8 Lectures Available)

S# Lecture Course Institute Instructor Discipline
1
  • 2.2.1 Video 1: Predicting the Quality of Wine (M-I-T)
2.2 The Statistical Sommelier: An Introduction to Linear Regression (M-I-T) MIT Prof. Dr. Dimitris Bertsimas Social Sciences
2
  • 2.2.11 Video 6: Correlation and Multicollinearity (M-I-T)
2.2 The Statistical Sommelier: An Introduction to Linear Regression (M-I-T) MIT Social Sciences
3
  • 2.2.13 Video 7: Making Predictions (M-I-T)
2.2 The Statistical Sommelier: An Introduction to Linear Regression (M-I-T) MIT Prof. Dr. Dimitris Bertsimas Social Sciences
4
  • 2.2.15 Video 8: Comparing the Model to the Experts (M-I-T)
2.2 The Statistical Sommelier: An Introduction to Linear Regression (M-I-T) MIT Prof. Dr. Dimitris Bertsimas Social Sciences
5
  • 2.2.3 Video 2: One-Variable Linear Regression (M-I-T)
2.2 The Statistical Sommelier: An Introduction to Linear Regression (M-I-T) MIT Social Sciences
6
  • 2.2.5 Video 3: Multiple Linear Regression (M-I-T)
2.2 The Statistical Sommelier: An Introduction to Linear Regression (M-I-T) MIT Prof. Dr. Dimitris Bertsimas Social Sciences
7
  • 2.2.7 Video 4: Linear Regression in R (M-I-T)
2.2 The Statistical Sommelier: An Introduction to Linear Regression (M-I-T) MIT Prof. Dr. Dimitris Bertsimas Social Sciences
8
  • 2.2.9 Video 5: Understanding the Model (M-I-T)
2.2 The Statistical Sommelier: An Introduction to Linear Regression (M-I-T) MIT Prof. Dr. Dimitris Bertsimas Social Sciences

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