MULTIPLE REGRESSION BASICS

MULTIPLE REGRESSION BASICS . MULTIPLE REGRESSION BASICS . Documents prepared for use in course , New York University, Stern School of Business Introductory thoughts about MULTIPLE REGRESSION page 3. Why do we do a MULTIPLE REGRESSION ? What do we expect to learn from it? What is the MULTIPLE REGRESSION model? How can we sort out all the notation? Scaling and transforming variables page 9. Some variables cannot be used in their original forms. The most common strategy is taking logarithms, but sometimes ratios are used. The gross size concept is noted. Data cleaning page 11. Here are some strategies for checking a data set for coding errors. Interpretation of coefficients in MULTIPLE REGRESSION page 13. The interpretations are more complicated than in a simple REGRESSION . Also, we need to think about interpretations after logarithms have been used. Pathologies in interpreting REGRESSION coefficients page 15.

≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈ multiple regression basics ≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈≈ ...

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