3.1 Linear Least-square Curve Fitting 3.1.1 Independent Variable Known

In this section some aspects of linear statistical models or regression models will be reviewed. Topics covered will include linear least-squares fits of predictands to predictors, correlation coefficients, multiple regression, and statistical prediction. These are generally techniques for showing linear relationships between variables, or for modeling one variable (the predictand) in terms of others (the predictors). They are useful in exploring data and in fitting data. They are a good introduction to more sophisticated methods of linear statistical modeling