Linear Regression is a tool for fitting a descriptive line
to a set of data. Least squares is used to fit
y(i) = α + ßx(i) + e, to minimize Σe² for i=1-to-n. If line-is-good-fit it helps explain data.
Linear regression means drawing a line showing the relation between two variables based on data points. Quantitative statistics is the use of numbers to determine relationships among variables.
