[Farg, 4(3): March, 2015] ISSN: 2277-9655 Scientific Journal Impact Factor: 3.449 (ISRA), Impact Factor: 2.114 http: // www.ijesrt.com © International Journal of Engineering Sciences & Research Technology [54] IJESRT INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY APPLICATION OF LOGISTIC MODEL FOR STUDYING THE FACTORS AFFECT ACADEMIC ACHIEVEMENT OF THE STUDENT - CASE STUDY OF FACULTY OF SCIENCES AND HUMANITIES (THADIQ) -SHAQRAA UNIVERSITY-KSA Dr. Mohamed Hassan Mahmoud Farg* * Associate Professor, (Statistics), Faculty of Economics and Political Sciences-Omdurman Islamic University (Sudan) – Shaqra University- KSA ABSTRACT This paper aims at studying the factors that affect academic achievement of the student in Faculty of Sciences and Humanities (Thadiq) -Shaqraa University-KSA. The Logistic Regression (Lo.R.) was used to analyze the data. The important result was, there is significant relationship between the academic achievement of the student on one hand and the studied factors on the other hand. In consequence of the above mentioned results, there are two discussions: The first is to conduct similar studies in the other faculties, and the second is to take the advantages of this study in the planning and improvement of student's academic rate. KEYWORDS: Academic rate, logistic regression, academic achievement, Shaqraa University. INTRODUCTION This paper deals with the factors which affect the academic achievement of the student in Faculty of Sciences and Humanities (Thadiq) -Shaqraa University-KSA. The Binary Logistic Regression (B.Lo.R.) was used to analyze the data. Binary logistic function is used in this paper because; the sample size is large and the numbers of levels of the independent variables are two. The problem of the study is that, there is no previous study about the factors that affect the Students' Academic Rate in Shaqraa University; therefore there is no sure information about effect of these factors. The variables in this study were sixteen one is dependent variable - Students' Academic Rate-which denoted by (Y i ), and the others were independent variables. These variables are configured in Appendix (1) and denoted by X 1 , X 2 ,…,X 15 . In this paper we will test the hypothesis: 15 ,......., 3 , 2 , 1 , 0 : 0 : 0 : 1 0    i where H against H i i   The importance of this paper is that, it will determine important factors that may affect in the academic level of the students. This paper aims at testing the significance of the factors that may affect in the academic level of the students, through logistic model. There are many studies that have used the analysis of the Logistic Model (Lo.M). The first one who used the logistic function in 1838 was Verhulst, and named it growth function. The term logistic function was used by (Pearl and Read, 1920). (Berkson; 1944) made comparison between the Logistic Model (LO.M.) and Normal Distribution Model (NDM) and reached to the result that the LO.M. was better than the NDM. Also the LO.M. and NDM were used by (Cox; 1970) for data consisted of three dose levels of drug, and found that, the LO.M. has better fitted than