Definitions for

**"Multiple regression"****Related Terms:**Regression analysis, Multiple regression analysis, Regression, Logistic regression, Multicollinearity, Univariate analysis, Analysis of covariance, Dependent variable, Covariate, Multivariate, Independent variable, Partial correlation, Covariance, Spurious correlation, Variate, Regression equation, Coefficient of determination, Coefficient of correlation, Serial correlation, Intervening variable, Linear regression, Latent variable, Spatial autocorrelation, Regression coefficient, Multivariate analysis, Correlation, Correlated, Bivariate analysis, Confounding variable, Anova, Discriminant analysis, Dummy variable, Independent variables, Variables, Analysis of variance, Correlation coefficient, Factor , Covariation, Chaid, Variability, Negative correlation, Factor analysis, Variables, Extraneous variable, Variability, Distribution, Goodness of fit, Statistical model, Error variance

This is linefitting with more than the two variables used in simple regression. The techique is used to predict one variable with the assistance of two or more predictor variables. See also Linefitting.

Regression with two or more independent variables.

see regression.

An equation or analysis where two or more independent (predictor) variables affect the dependent variable.

Statistical technique used to compare the responses of a mailing with census demographics and list characteristics of mailing lists. Used to direct mail to the best types of people or areas. This technique can also be used to analyse customers, subscribers, etc. NO

A statistical technique used in Modeling to develop an explanation of the relationship of behavioral variables.

a statistical technique that predicts values of one variable on the basis of two or more other variables

a procedure for determining the relationship between a criterion variable and several predictor variables

Statistical technique used to measure the association between a dependent variable and multiple independent variables.

Statistical technique used to compare the responses of a mailing list with census demographics and list characteristics of mailing lists. Used to target mail to the best types of people or areas. This technique is also used to analyse customers, sub-scribers, etc. Outbound telemarketing Calls that are placed by a marketer, as opposed to inbound telemarketing where the customer calls in first Package test A test of one or more elements of a mailing package against another

Regression analysis involving multiple independent variables.

The general purpose of multiple regression is to analyse the relationship between several independent or predictor variables and a dependent variable.

An extension of simple regression to include the effects of more than one predictor on an outcome variable.

A method for determining an optimal equation (least-squared difference between observed and predicted values for the response) for a response as a function of several inputs, y= b0 + b1 X1 + b2 X2 + b3 X3 + error.

Multiple Regression Analysis (MRA) is a statistical method to predict the market value of all properties as of the appraisal date, based on actual sales in comparable areas (neighborhoods). MRA models create adjustments based on the contributory value of characteristics such as quality, age, architectural style, and square footage.

A multivariate method for determining a regression or prediction equation to predict an outcome from a set of independent variables.

Statistical technique used to measure the relationship between responses to a mailing and census demographics and list characteristics of one or more selected mailing lists. This is used to determine the best types of people/areas to whom to mail. This technique can also be used to analyze customers, subscribers, and so on.

Multiple regression is the appropriate method of analysis when the research problem involves a single metric dependent variable presumed to be related to one or more metric independent variables. The objective of multiple regression analysis is to predict the changes in the dependent variable in response to the changes in the several independent variables (Hair et al., 1995).

Procedure that studies multiple independent variables simultaneously to identify relationships.

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