Big data projects (business statistics ii)

  

Project Description

The general description of this project stems from research associated with self-efficacy and its relationship with academic performance and persistent. 

The standard project is to use multiple regression analysis to analyze a data set. The data set is a study of student persistent enrolling in the next semester based on Gender, Age, GPA, a 22 questionnaire on self-efficacy, and student enrollment status. 

The educational researcher wants to study the relationship between student enrollment status as it relates to gender, age, GPA, and the total response to a 22 questionnaire survey.

Data Sets

The data consist of 132 students at a 2-year college. The data is in pdf format, so it will require input to Excel.(Already done)

For the qualitative variables use the following to prepare data.

Gender – 0 represents female, 1 represents male

Age – 0 represents student age (18 – 25), 1 represents student age (26 – older)

GPA – student’s current grade point average

Total Q – total of the 22 questions (all question responses come from a scale of 1 – 5, where 5 high.

Enrollment status – 0 represents not enrolled, 1 represents enrolled.

Items to turn in

  1. Excel      worksheet must include the following

a. data review and update, data does have some wrong inputs so it will require updates, also check for any outliers and remove, 

b. column setup, 

c. data analysis for regression analysis. 

d. include a residual output, may require research 

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