Transcript
Page 1: Lec . 29 – Bivariate Statistics:  Classical Regression

Lec. 29 – Bivariate Statistics: Classical Regression

Page 2: Lec . 29 – Bivariate Statistics:  Classical Regression

Division of Data Variation

Page 3: Lec . 29 – Bivariate Statistics:  Classical Regression

Defining the Error

Page 4: Lec . 29 – Bivariate Statistics:  Classical Regression

Classical Regression

Page 5: Lec . 29 – Bivariate Statistics:  Classical Regression

Classical Linear Regression

Page 6: Lec . 29 – Bivariate Statistics:  Classical Regression

Example

Satisfied? Not really. Let’s derive!

Page 7: Lec . 29 – Bivariate Statistics:  Classical Regression

Deriving Least Squares, 1

Page 8: Lec . 29 – Bivariate Statistics:  Classical Regression

Deriving Least Squares, 2

Page 9: Lec . 29 – Bivariate Statistics:  Classical Regression

Deriving Least Squares, 3

Page 10: Lec . 29 – Bivariate Statistics:  Classical Regression

Deriving Least Squares, 4

Need a refresher? http://mathworld.wolfram.com/MatrixInverse.html

Page 11: Lec . 29 – Bivariate Statistics:  Classical Regression

Deriving Least Squares, 5

Page 12: Lec . 29 – Bivariate Statistics:  Classical Regression

Deriving Least Squares, 6

Page 13: Lec . 29 – Bivariate Statistics:  Classical Regression

Deriving Least Squares, 7

Page 14: Lec . 29 – Bivariate Statistics:  Classical Regression

Goodness of Fit

Page 15: Lec . 29 – Bivariate Statistics:  Classical Regression

Significance of Regression and ANOVA

Page 16: Lec . 29 – Bivariate Statistics:  Classical Regression

Example: Significance of Regression

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Warnings – Classical Regression


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