1. FITTING A STRAIGHT LINE BY LEAST SQUARES
2. THE MATRIX APPROACH TO LINEAR REGRESSION
3 THE EXAMINATION OF RESIDUALS
4 TWO PREDICTOR VARIABLES
5 MORE COMPLICATED MODELS
6 SELECTING THE BEST REGRESSION EQUATION
7 TWO SPESIFIC PROBLEMS
8 MULTIPLE REGRESSION AND MATHEMATICAL MODEL BUILDING
9 MULTIPLE REGRESSION APPLIED TO ANALYSIS OF VARIANCE PROBLEM
10 AN INTRODUCTION TO NONLINEAR ESTIMATION