Predicting Success in the Accelerated Self Study Program

Running head: PREDICTING SUCCESS IN THE ACCELERATED SELF STUDY PROGRAM
Predicting Success in the Accelerated Self Study Program
Name
Course Number
Date
Faculty Name

PREDICTING SUCCESS IN THE ACCELERATED SELF STUDY PROGRAM 2
Predicting Success in the Accelerated Self Study Program
Descriptive statistics
Variable Obs Mean Std. Dev. Min Max
test 100 47.72 13.21927 19 87
sat 100 1008.2 135.9172 730 1400
gpa 100 2.7999 .6686659 1.4 4
essay 100 49.32 13.31884 22 79
On average, the students scored 47.42 on their final test with the last student scoring 19% and
87% for the best. Based on official records, the students had an average score of 1008.2 for SAT scores
with a standard deviation of 135.92. The lowest score to SAT score was 730 and a maximum of 1400.
From a sample of 100 participants, the best-performed students from the high school results had a GPA
of 4 and the poorest performer has a GPA score of 1.4 with an average of 2.8. the essay performance
had an average score of 49.32with a standard deviation of 13.32.
0 .01 .02 .03 .04
Density
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Test
Histogram of Performance
Figure 1: Histogram of students' performance
The test marks are approximately normally distributed with a mean of 47.72% and a standard
deviation of 13.22. This can be affirmed by the histogram in figure one. Therefore, we can model the

PREDICTING SUCCESS IN THE ACCELERATED SELF STUDY PROGRAM 3
test results using linear regression because the normally has been achieved(Tsokos, Wooten, Tsokos, &
Wooten, 2016).
Scatter Plots
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600 800 1000 1200 1400
SAT
Test Fitted values
Scatter plot of Test by SAT
Figure 2: A scatter plot of SAT by Test
According to figure 2 above, there is a positive correlation between SAT and Test scores.
20 40 60 80 100
1.5 2 2.5 3 3.5 4
GPA
Test Fitted values
Scatter plot of Test by GPA
Figure 3: Scatter plot of Test by GPA