J.J.  Kiram, J.  Sulaiman, S.  Suwanto, W.A.  Din, 
    Modified Gompertz Model to Predict Language Proficiency in
Proportion to Language Learning Strategy,
    Journal of Engineering and Applied Sciences,
    Volume 14,Issue 6,
    2019,
    Pages 2011-2015,
    ISSN 1816-949x,
    jeasci.2019.2011.2015,
    (https://makhillpublications.co/view-article.php?doi=jeasci.2019.2011.2015)
    Abstract: A perpetuation from previous studies, it aims to fit a nonlinear mathematical model, specifically the
modified Gompertz Model into a data involving language learning strategies. These language learning strategies
are regarded as the six independent variables. Whereas, the language proficiency is regarded as the dependent
variable. The language proficiency is measured according to the student’s Malaysian University English test
result where two hundred and thirty pre-university students of Universiti Malaysia Sabah participated. These
language learning strategies are based upon a self-report questionnaire called the strategy inventory for
language learning. The model’s goodness-of-fit was tested using Root Mean Square Error (RMSE), Mean
Absolute Error (MAE) and Residual Standard Error (RSE).
    Keywords: Mathematical modelling;language learning strategies;Gompertz Model;variable;strategies;data