How to cite this paper
Abdallah, A & Mohammed, M. (2021). Application of regression methods to investigate the factors influence on student’s Grade Point Average.Management Science Letters , 11(2), 637-644.
Refrences
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Aleidi, S. M., Elayah, E., Zraiqat, D., Abdallah, R., & AL-Iede, M. (2020). Factors affecting the academic performance of medical, dental, and pharmacy students in Jordan. Jordan Journal of Pharmaceutical Sciences, 13(2).
Alshammari, F., Saguban, R., Pasay-an, E., Altheban, A., & Al-Shammari, L. (2017). Factors affecting the academic performance of student nurses: A cross-sectional study. Journal of Nursing Education and Practice, 8(1), 60.
Buchinsky, M. (1998). Recent advances in quantile regression models: a practical guideline for empirical research. Journal of Human Resources, 33(1), 88-126.
Collins, F. S., & Varmus, H. (2015). A new initiative on precision medicine. New England journal of medicine, 372(9), 793-795.
Davino C, Furno M, Vistocco D. (2013). Quantile regression: Theory and applications. USA: John Wiley & Sons 2013.
Erdem, C., Senturk, I., & Arslan, C. K. (2007). Factors affecting grade point average of university students. The Empirical Economics Letters, 6(5), 360-368.
Girma, S., & Görg, H. (2005). Foreign direct investment, spillovers and absorptive capacity: Evidence from quantile regressions.
Habtamu, L. (2018). Factors affecting the academic performance of undergraduate students. Journal of Education and Practice, 9(31).
Ibrahim, A., & Yahaya, A. (2015). Analysis of quantile regression as alternative to ordinary least squares. International Journal of Advanced Statistics and Probability, 3(2), 138-145.
John, O. O. (2015). Robustness of quantile regression to outliers. American Journal of Applied Mathematics and Statistics, 3(2), 86-88.
Koenker, R., & Bassett Jr, G. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society, 46(1), 33-50.
Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of economic perspectives, 15(4), 143-156.
Koenker R. (2005). Quantile regression. New York, NK, USA: Cambridge University Press.
Lotsi, A. (2019). Statistical Analysis of Factors Affecting Grade Point Average of Level 100 Students: A Case Study of University of Ghana Legon Campus. Journal of Mathematics Education, 4(2), 87-96.
Neter, J., Kutner, M. H., Nachtsheim, C. J., & Wasserman, W. (1996). Applied linear statistical models.
Raychaudhuri, A., Debnath, M., Sen, S., & Majumder, B. G. (2010). Factors affecting students’ academic performance: A case study in Agartala municipal council area. Bangladesh. e-Journal of Sociology, 7(2), 34-41.
Suendarti, M., & Liberna, H. (2018). The Effect of I-CARE Learning Model on the Students’ Metacognition. Journal of Mathematics Education, 3(2), 40-46.
Sen, A., & Srivastava, M. (2012). Regression analysis: theory, methods, and applications. Springer Science & Business Media.
SAS, I. (2014). Sas/stat r 13.2 users guide. Cary, North Carolina: SAS Institute Inc.
Weisberg, S. (2005). Applied linear regression. USA: John Wiley & Sons 2005.
Westrick, P. A., Le, H., Robbins, S. B., Radunzel, J. M., & Schmidt, F. L. (2015). College performance and retention: A meta-analysis of the predictive validities of ACT® scores, high school grades, and SES. Educational Assessment, 20(1), 23-45.
Zhou, C. (2011). A quantile regression analysis on the relations between foreign direct investment and technological innovation in china. International Conference of Information Technology Computer Engineering and Management Sciences, 4, 28-41.
Aleidi, S. M., Elayah, E., Zraiqat, D., Abdallah, R., & AL-Iede, M. (2020). Factors affecting the academic performance of medical, dental, and pharmacy students in Jordan. Jordan Journal of Pharmaceutical Sciences, 13(2).
Alshammari, F., Saguban, R., Pasay-an, E., Altheban, A., & Al-Shammari, L. (2017). Factors affecting the academic performance of student nurses: A cross-sectional study. Journal of Nursing Education and Practice, 8(1), 60.
Buchinsky, M. (1998). Recent advances in quantile regression models: a practical guideline for empirical research. Journal of Human Resources, 33(1), 88-126.
Collins, F. S., & Varmus, H. (2015). A new initiative on precision medicine. New England journal of medicine, 372(9), 793-795.
Davino C, Furno M, Vistocco D. (2013). Quantile regression: Theory and applications. USA: John Wiley & Sons 2013.
Erdem, C., Senturk, I., & Arslan, C. K. (2007). Factors affecting grade point average of university students. The Empirical Economics Letters, 6(5), 360-368.
Girma, S., & Görg, H. (2005). Foreign direct investment, spillovers and absorptive capacity: Evidence from quantile regressions.
Habtamu, L. (2018). Factors affecting the academic performance of undergraduate students. Journal of Education and Practice, 9(31).
Ibrahim, A., & Yahaya, A. (2015). Analysis of quantile regression as alternative to ordinary least squares. International Journal of Advanced Statistics and Probability, 3(2), 138-145.
John, O. O. (2015). Robustness of quantile regression to outliers. American Journal of Applied Mathematics and Statistics, 3(2), 86-88.
Koenker, R., & Bassett Jr, G. (1978). Regression quantiles. Econometrica: Journal of the Econometric Society, 46(1), 33-50.
Koenker, R., & Hallock, K. F. (2001). Quantile regression. Journal of economic perspectives, 15(4), 143-156.
Koenker R. (2005). Quantile regression. New York, NK, USA: Cambridge University Press.
Lotsi, A. (2019). Statistical Analysis of Factors Affecting Grade Point Average of Level 100 Students: A Case Study of University of Ghana Legon Campus. Journal of Mathematics Education, 4(2), 87-96.
Neter, J., Kutner, M. H., Nachtsheim, C. J., & Wasserman, W. (1996). Applied linear statistical models.
Raychaudhuri, A., Debnath, M., Sen, S., & Majumder, B. G. (2010). Factors affecting students’ academic performance: A case study in Agartala municipal council area. Bangladesh. e-Journal of Sociology, 7(2), 34-41.
Suendarti, M., & Liberna, H. (2018). The Effect of I-CARE Learning Model on the Students’ Metacognition. Journal of Mathematics Education, 3(2), 40-46.
Sen, A., & Srivastava, M. (2012). Regression analysis: theory, methods, and applications. Springer Science & Business Media.
SAS, I. (2014). Sas/stat r 13.2 users guide. Cary, North Carolina: SAS Institute Inc.
Weisberg, S. (2005). Applied linear regression. USA: John Wiley & Sons 2005.
Westrick, P. A., Le, H., Robbins, S. B., Radunzel, J. M., & Schmidt, F. L. (2015). College performance and retention: A meta-analysis of the predictive validities of ACT® scores, high school grades, and SES. Educational Assessment, 20(1), 23-45.
Zhou, C. (2011). A quantile regression analysis on the relations between foreign direct investment and technological innovation in china. International Conference of Information Technology Computer Engineering and Management Sciences, 4, 28-41.