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Ordinary Least-Squares Regression

Hutcheson, G. D. (2011). Ordinary Least-Squares Regression . In L. Moutinho and G. D. Hutcheson, The SAGE Dictionary of Quantitative Management Research. Pages Least-Squares RegressionIntroductionOrdinary Least-Squares (OLS) Regression is a generalized linear modelling technique that may be used to model a single response variable which has been recorded on at least an interval scale. The technique may be applied to single or multiple explanatory variables and also categorical explanatory variables that have been appropriately coded. Key FeaturesAt a very basic level, the relationship between a continuous response variable (Y) and a continuous explanatory variable (X) may be represented using a line of best-fit, where Y is predicted, at least to some extent, by X.

Ordinary least-squares (OLS) regression is a generalized linear modelling technique that may be used to ... At a very basic level, the relationship between a continuous response variable (Y) and a continuous explanatory variable (X) may be represented using a line of best-fit, where Y is

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