Study of the behavior of one variable in relation to several compartments induced by another variable.
By the use of regression line or equation, we can predict scores on the dependent variable from those of the independent variable. There are different nomenclatures of independent and dependent variables.
Goal of linear regression procedure is to fit a line through the points. Specifically , the program will compute a line so that the squared deviations of the observed points from that line are minimized. This procedure is called least square.
A fundamental principle of least square method is that variation on a dependent variable can be partitioned, or divided into parts, according to the sources of variation.