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    Selection of Variables in Multiple Linear Regression Used in Agricultural Research
    (Türk Eğitim-Sen, 2014) Karadavut, Volkan; Yazıcı, Mehmet Emin; Karadavut, Ufuk
    In multiple linear regression analysis, to make a choice among the present independent variable in order to form the model equation which can best explain the dependent variable as fitting the aim of its usage is one of the most important steps of multiple linear regression analysis. At this step known as variable choice. The aim of finding the models or worse than another one. In this study, it explained that the most useful in application forward selection, backward selection, stepwise selection and selection of all likelihood subsets. The aim of this study is to introduce the variable choice methods used some values observed from the Faba bean plants Vicia faba L. to researchers studying in agricultural research