Essay About Data Collection        Data Analysis And 3431-050Statistical Analysis Group

Determining the Significant Factors Influencing Undergraduate Gpa
BUSN 3431-050Statistical Analysis Group ProjectDetermining the Significant Factors Influencing Undergraduate GPAJonathan Cruz, Michelle Wei, and Ian Slaby11-27-2014Table of ContentsIntroduction 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 SummaryIn 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.