Regression analysis

Regression analysis is a statistical method where the mean of one or more random variables is predicted conditioned on other (measured) random variables. In particular, there are linear regression, logistic regression and supervised learning.

Regression Analysis:

One of the two variables, call it X, can be regarded as
an ordinary variable, because we can measure it without
substantial error or we can even give it values we want.
X is called the independent valuable, or sometimes the
controlled variable because we can control it (set it
as values we choose). 
The other variable, y, is a random variable, and we are
interested in the dependence of Y on X. 

Typically examples are the dependence of the blood pressure Y on the age X of a person or, as we shall now say, the regression of Y on X, the regression of the gain of weight Y of certain animals on the daily ration of food X.

(x) = Ko + K1x