QA 622 (Statistics For Graduate Business Studies I)

Slideshow Presentations


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0th Set of Lecture Slides (the Matrix Algebra Primer)

1st Set of Lecture Slides (Introduction to Regression Analysis)

2nd Set of Lecture Slides (Checking the Fit)

3rd Set of Lecture Slides (Special Topics in Fitting Linear Regression Lines)

4th Set of Lecture Slides (Simple Linear Regression in Matrix Notation)

5th Set of Lecture Slides (Generalizing to Multiple Regression)

6th Set of Lecture Slides (Extra Sums of Squares)

7th Set of Lecture Slides (Special Issues with Time Series Data)

8th Set of Lecture Slides (Checking the Fit in Multiple Regression)

9th Set of Lecture Slides (Special Topics in Multiple Regression)

10th Set of Lecture Slides (Bias in Regression Estimates & Expected Values of Mean Squares and Sums of Squares)

11th Set of Lecture Slides (Worthwhile Regressions, Big F's, and R2)

12th Set of Lecture Slides (Regressions with Functions of the Regressors)

13th Set of Lecture Slides (Regressions with Functions of the Response)

14th Set of Lecture Slides (Dummy Variables)

15th Set of Lecture Slides (Model Building/Selecting the Best Regression)

16th Set of Lecture Slides (Ill-Conditioned Data/Multicolinearity)

17th Set of Lecture Slides (Ridge Regression)

p-Value Slides (from QA 233)

 

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