Multiple Regression

Abdul Quader Miah ()
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Abdul Quader Miah: Asian Institute of Technology

Chapter Chapter 12 in Applied Statistics for Social and Management Sciences, 2016, pp 233-244 from Springer

Abstract: Abstract A multiple regression model deals with one dependent variable and two or more independent variables. A very important feature of a multiple regression model is interpretation. It is demonstrated and explained here how to use a categorical variable in a regression model by use of dummy variables. A useful feature of a regression model is prediction/forecasting. It is demonstrated through examples. The technique of how to transform nonlinear relationships into linear relationships is also explained, thus making it suitable for use of the basic concept of linear regression models in such cases.

Keywords: Multiple regression model; Interpretation; Prediction/forecasting; Dummy variables; Other regression model (search for similar items in EconPapers)
Date: 2016
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-10-0401-8_12

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DOI: 10.1007/978-981-10-0401-8_12

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