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multiple regression

A technique used to estimate the value of a subject property based on known prices for comparable properties. Frequently used to create mass appraisals for single family residences.

Related information about multiple regression:
  1. Multiple Regression - StatSoft
    The general purpose of multiple regression (the term was first used by Pearson, 1908) is to learn more about the relationship between several independent or ...
     
  2. Linear regression - Wikipedia, the free encyclopedia
    More than one explanatory variable is multiple regression. (This in ... 2.1 Simple and multiple regression; 2.2 General linear models; 2.3 Heteroskedastic models ...
     
  3. Regression analysis - Wikipedia, the free encyclopedia
    In the more general multiple regression model, there are p independent variables : y_i = \beta_1 x_{i1} + \beta_2 x_{i2} +. where xij is the ith observation on the ...
     
  4. Multiple Regression - Ordination Methods for Ecologists
    A multiple regression allows the simultaneous testing and modeling of multiple independent variables. (Note: multiple regression is still not considered a ...
     
  5. EXCEL Multiple Regression
    Multiple regression using the Data Analysis Add-in. Interpreting the regression statistic. Interpreting the ANOVA table (often this is skipped). Interpreting the ...
     
  6. Performing a multiple regression on SPSS - Palgrave
    Multiple regression is a statistical technique that allows us to predict someone's ... When using multiple regression in psychology, many researchers use the term ...
     
  7. Introduction to Multiple Regression (1 of 3)
    In multiple regression, more than one variable is used to predict the criterion. For example, a college admissions officer wishing to predict the future grades of ...
     
  8. Multiple Regression Analysis - Predicting Unknown Values.
    Multiple regression analysis is a powerful technique used for predicting the unknown value of a variable from the known value of two or more variables- also ...