Important factors in the UNI-Admission Exam

Authors

  • Alipio Ordoñez Mercado Facultad de Ingeniería Económica y Ciencias Sociales, Universidad Nacional de Ingeniería, Lima, Perú

DOI:

https://doi.org/10.21754/tecnia.v9i1.408

Abstract

In this paper the most important explicative variables in the behaviour of admission exam grades to National Engineering University  is investigated. The tecniques STEPWISE REGRESSION and RIDGE REGRESSION are considerated ans in the analysis is used the results of 1994 admission exam. These data were obtained through sistematic stratificated sampling with proporcional asignation to size population. The results reveals that the most important variable is the general average in high school (XC); others important variables are Admission canal (X1), Pre-University Preparation type (X4), and Pre-University Preparation Time (x7). 

Downloads

Download data is not yet available.

References

[1] HOCKING, R.R.(1976) "The analysis and selection of variables in linear regression". Biometrics Vol. 32, Pags. 1-48.

[2] HOERL, A. E and KENNARD, R. W. (1970) "Ridge regression: Biased estimation for non-orthogonal problems". Technometrics Vol. 12, Pags. 55-67.

[3] ORDOÑEZ, M.A. (1987) "Regresión Cresta en la Selección de variables en modelos de Regresión Lineal Múltiple". Tesis para optar el título de Ingeniero Estadístico. en la Univ. Nac. Agraria La Molina. Lima-Perú

Downloads

Published

1998-06-01

How to Cite

[1]
A. Ordoñez Mercado, “Important factors in the UNI-Admission Exam”, TECNIA, vol. 9, no. 1, Jun. 1998.

Issue

Vol. 9 No. 1 (1998)

Section

Articles

License

Copyright (c) 1998 TECNIA

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Articles published by TECNIA can be shared under the international Creative Commons license: CC BY 4.0. Permissions beyond this scope can be inquired via email at tecnia@uni.edu.pe.

Most read articles by the same author(s)