International Journal of Innovative Research and Development

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Multiple Regression of Students’ Performance Using forward Selection Procedure, Backward Elimination and Stepwise Procedure


Affiliations
1 Department of Statistics, Federal Polytechnic Ekowe, Bayelsa State, Nigeria
2 National Mathematical Centre, Abuja, Nigeria
 

The building of required models aids in appropriate model prediction. The students GPA(Y) which is the response (dependent) variable was regressed on four predictor (independent) variables. Methodologies of the backward elimination, forward selection procedure and stepwise procedure are discussed with numerical data to find the model which gives the prediction Y, given .X1,X4.


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  • Multiple Regression of Students’ Performance Using forward Selection Procedure, Backward Elimination and Stepwise Procedure

Abstract Views: 156  |  PDF Views: 5

Authors

Oti
Department of Statistics, Federal Polytechnic Ekowe, Bayelsa State, Nigeria
Eric Uchenna
Department of Statistics, Federal Polytechnic Ekowe, Bayelsa State, Nigeria
Awogbemi
National Mathematical Centre, Abuja, Nigeria
Clement Adeyeye
National Mathematical Centre, Abuja, Nigeria
Slink
Department of Statistics, Federal Polytechnic Ekowe, Bayelsa State, Nigeria
Ruth Abiobaragha
Department of Statistics, Federal Polytechnic Ekowe, Bayelsa State, Nigeria

Abstract


The building of required models aids in appropriate model prediction. The students GPA(Y) which is the response (dependent) variable was regressed on four predictor (independent) variables. Methodologies of the backward elimination, forward selection procedure and stepwise procedure are discussed with numerical data to find the model which gives the prediction Y, given .X1,X4.