Applied Regression Analysis  
Booth School of Business University of Chicago
Peter Rossi

Content
ch I fitting lines to date
ch II introduction to least squares
ch III the simple linear regression
ch IV estmating the model parameters
Ch V Confidence Intervals and Hypothesis Testing
Ch VI Prediction and Diagnostics
Ch VII Introduction to Time Series
Ch VIII The Multiple Regression Model
ch IX differences between simple and multiple regression
Ch X Multicolinearity and Assorted Diagnostics
CH XI Functional Forms, Transformations and Hetero
math stat Prerequisites
Newfood Example
Shock Absorber Example

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