Linear regression Calc

Linear regression modeling of linearly observed data is a method by using the

relationship between variables in a linear equation. This is the same for all

forms of regression analysis, focusing on the conditional probability

distribution of a given X of Y, rather than in Y and X, which is the joint

probability distribution of the domains in multivariate analysis. The scalar

variable Y between two variables is considered to be the explanatory variable

and the other one or more variables X are considered to be the dependent

variable representation.