The purpose of the project is for you to gain experience in
applying statistical method of multiple regression.
Questions and online hours: Q&A with Instructor and
email communications.
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 130 students at a 2-year college. The data has been converted to Excel.
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
Sun | Mon | Tue | Wed | Thu | Fri | Sat |
---|---|---|---|---|---|---|
30 | 31 | 1 | 2 | 3 | 4 | 5 |
6 | 7 | 8 | 9 | 10 | 11 | 12 |
13 | 14 | 15 | 16 | 17 | 18 | 19 |
20 | 21 | 22 | 23 | 24 | 25 | 26 |
27 | 28 | 29 | 30 | 1 | 2 | 3 |
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