CORRELATION and REGRESSION

The “best line” will be the one with the minimum sum of the squares – thus it is called the “Least Squares Regression Line”. Simple Linear Regression: , where n observations included, the parameters and are constants whose "true" values are unknown and must be estimated from the data. ................
................