Projecting college and Grade 11 students’ population of UMDC for the SY 2016-2017
Keywords:
time-series analysis, naive forecasting, regression analysis, enrollment trend, student populationAbstract
This study applied a coherent use of time-series analysis and survey to forecast and project trends in the expected population of students in the UM Digos College. The study emphasized the movements of enrollment trends of college students and a survey to create a projection of school and field preferences of upcoming Grade 11 students. The basic and logical method of forecasting was used to provide coherent and explainable results for forecasting college students' population. These methods were average and ratio analysis, regression analysis, and naive method of forecasting. Survey method and analysis were used to create a projection on Grade 11 students in UMDC for the SY 2016-2017. Combining the results from both projections in forecasted values of college students and the expected number of Grade 11 students would create another projection for the expected total number of UMDC students for the SY 2016-2017.
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Copyright (c) 2016 Leonardo Jr. Rulida, Ian Dave Abad, Jerald Torres, Garnette Mae Balacy
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.