Multiple regression

simple regression, finding a curved equation between several variables that fulfills the results of a sample in order to explain the result of the sample

In statistics, linear regression is a regression method that models the relationship between a dependent variable Y, independent variables Xi, i = 1, ..., p, and a random term ε. The model can be written as where is the intercept ("constant" term), the s are the respective parameters of independent variables, and is the number of parameters to be estimated in the linear regression. Linear regression can be contrasted with nonlinear regression.This method is called "linear" because the relation of the response (the dependent variable ) to the independent variables is assumed to be a linear function of the parameters. It is often erroneously thought that the reason the technique is called "linear regression" is that the graph of is a straight line or that is a linear function of the variables. But if the model is (for example)
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Noun
1. a statistical technique that predicts values of one variable on the basis of two or more other variables
(synonym) multiple correlation
(hypernym) multivariate analysis
(hyponym) multicollinearity
(classification) statistics

multiple regression, simple regression, finding a curved equation between several variables that fulfills the results of a sample in order to explain the result of the sample

The estimated relationship between a dependent variable and more than one explanatory variable.