MULTIPLE REGRESSION BASICS - New York University

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 .

Regression analysis of variance table page 18 ... t statistics for the b’s, an F statistic for the whole regression, leverage values, path coefficients, and on and on and on and ..... This work is generally done by a computer ... Multiple regression: ...

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  Analysis, Multiple, Regression, Path, Regression analysis, Multiple regression

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