other · 2012

Multiple Linear Regression

Cited by 7Abstract and details only

Abstract

This chapter describes the basic structure of the linear regression model, including the assumptions that justify the use of least squares estimation. A regression analysis is used for one (or more) of three purposes: modeling the relationship between x and y; prediction of the target variable (forecasting); and testing of hypotheses. The chapter introduces the basic multiple linear regression model, and discusses how this model can be used for these three purposes. Specifically, it discusses the interpretations of the estimates of different regression parameters, the assumptions underlying the model, measures of the strength of the relationship between the target and predictor variables, the construction of tests of hypotheses and intervals related to regression parameters, and the checking of assumptions using diagnostic plots. Controlled Vocabulary Terms confidence interval; hypothesis testing; multiple regression; partial residual plot

Cite this paper

APA 7

(2012). Multiple Linear Regression. https://doi.org/10.1002/9781118532843.ch1

MLA 9

“Multiple Linear Regression.” 2012, pp. 1–21, https://doi.org/10.1002/9781118532843.ch1.

Chicago

2012. “Multiple Linear Regression.” https://doi.org/10.1002/9781118532843.ch1.

Harvard

(2012) ‘Multiple Linear Regression’. Available at: https://doi.org/10.1002/9781118532843.ch1.

BibTeX

@misc{anon2012multiple,
  title = {{Multiple Linear Regression}},
  pages = {1--21},
  year = {2012},
  doi = {10.1002/9781118532843.ch1}
}

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