Linear Regression

Linear Regression Formula

Linear regression analyzes the relationship between two variables, X and Y. For each subject (or experimental unit), you know both X and Y and you want to find the best straight line through the data. In some situations, the slope and/or intercept have a scientific meaning. In other cases, you use the linear regression line as a standard curve to find new values of X from Y, or Y from X. A regression is a statistical analysis assessing the association between two variables. It is used to find the relationship between two variables.

Linear Regression Formula:

Regression Equation(y) = a + bx

Slope(b) = (NΣXY - (ΣX)(ΣY)) / (NΣX2 - (ΣX)2)
Intercept(a) = (ΣY - b(ΣX)) / N


A linear equation is an algebraic equation in which each term is either a constant or the product of a constant and (the first power of) a single variable.

Will soon be back with Linear functions and Inequalities.