Determining the Significant Factors Influencing Undergraduate Gpa

Table of Contents

Introduction and Executive Summary        

Research Method        

Formulation of Questions        

Study Design and Data Collection        

Data Analysis and Results        

Initial Multiple Regression Analysis        

VIF Score        

Chi-Square Tests        

Gender        

Significant Other        

Stress Level        

Reverse Stepwise Regression        

Final Multiple Regression Analysis        

R Square Analysis        

ANOVA Analysis        

Regression Equation        

Limitations and Conclusion        

References        

Appendices        

Appendix 1: Survey Questions        

Appendix 2: Raw Data from Responses        

Appendix 3: Chi Square Tests        

Gender and Significant Other        

Stress Level        

Appendix 4: Reverse Stepwise Regression Data        

Introduction and Executive Summary

In conducting this experiment, our main objective was to determine the approximate grade point average of different post-secondary undergraduate students throughout the Greater Vancouver region, and identify the factors that contribute most to each student’s relative success or failure, based on data gathered from our surveys regarding numerous independent variables that we theorized to have large effects on a person’s study habits. As study habits differ from individual to individual, it was necessary for all information used in our analysis to be primary data, and as such, we established as a group that the key independent variables to probe for would be that of a person’s age, gender, presence of a significant other, average number of coffees consumed per day, average number of coffees consumed per week, stress level self-ranked on a scale out of ten, and number of courses taken per semester.