Regression theory in linear and logistic model with an illustrated example in programming language R

Joint Authors

Madini, Uthman
Awwadi, Mustafa

Source

Journal of Quantitative Economics Studies

Issue

Vol. 7, Issue 1 (31 Dec. 2021), pp.437-448, 12 p.

Publisher

University Kasdi Merbah Ouargla

Publication Date

2021-12-31

Country of Publication

Algeria

No. of Pages

12

Main Subjects

Economy and Commerce

Topics

Abstract EN

The validity of the model in linear theory regression, was determined through the optimal estimation of the line variation through the analysis of sediments on OLS, but if study was concerned on logistic model, a number of different statistics will have to be resorted to, such as Homs -limcho 'statistics to examining the quality of conformity, such classification tables where there is on other statistics that's give a partial indication.

and significance of the variables Interpretation.

Where the study aimed to meet the regression theory between the two models while supporting the idea with an applied example in the programming language R.

American Psychological Association (APA)

Madini, Uthman& Awwadi, Mustafa. 2021. Regression theory in linear and logistic model with an illustrated example in programming language R. Journal of Quantitative Economics Studies،Vol. 7, no. 1, pp.437-448.
https://search.emarefa.net/detail/BIM-1261784

Modern Language Association (MLA)

Madini, Uthman& Awwadi, Mustafa. Regression theory in linear and logistic model with an illustrated example in programming language R. Journal of Quantitative Economics Studies Vol. 7, no. 1 (2021), pp.437-448.
https://search.emarefa.net/detail/BIM-1261784

American Medical Association (AMA)

Madini, Uthman& Awwadi, Mustafa. Regression theory in linear and logistic model with an illustrated example in programming language R. Journal of Quantitative Economics Studies. 2021. Vol. 7, no. 1, pp.437-448.
https://search.emarefa.net/detail/BIM-1261784

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references : p. 448

Record ID

BIM-1261784