Higher education, graduate admission, multiple linear regression
Abstract
The higher education has been one of the most popular topics at present, and its admission process has always been the center focus. Many studies have been conducted on the higher education attain rate and its growth in different countries. Also, many researchers analyze the current admission trends and work to find what contributes to the admission. In this paper, a multiple linear regression model is used to analyze the relationship between 500 sample Indian students’ chance of admission to Ivy graduate schools and their application materials. The significance of the results is also proven by compensated simple linear regression. Finally, it shows that GPA and standardized scores contribute the most to the chance of admission; the strength of the Reference Letter is also a relatively effective predictor; the research is a significant estimator, but its correlation with the admitting chance is weak. The test results give evidence of what Indian students should emphasize when they apply to Ivy graduate programs in the future.
