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Economics and Quantitative Analysis

   

Added on  2023-04-21

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Running head: ECONOMICS AND QUANTITAIVE ANALYSIS
Economics and Quantitaive Analysis
Name of the Student
Name of the University
Course ID

1ECONOMICS AND QUANTITAIVE ANALYSIS
Table of Contents
1.Purpose....................................................................................................................................2
2. Background............................................................................................................................2
3. Method...................................................................................................................................2
4. Results....................................................................................................................................3
a) Descriptive statistics..........................................................................................................3
b) Scatter diagram..................................................................................................................4
c) Regression equation...........................................................................................................4
d) Regression estimation and slope coefficient......................................................................5
e) Association between graduation rate and retention rate....................................................6
f) Goodness of fit...................................................................................................................6
g) South University................................................................................................................6
h) University of Phoenix........................................................................................................7
5. Discussion..............................................................................................................................7
6. Recommendation....................................................................................................................8
7. References..............................................................................................................................9

2ECONOMICS AND QUANTITAIVE ANALYSIS
1.Purpose
Retention rate and graduation rate are the two important aspects in determining kevel
of education in an institution. The former represents percentage share of student who decides
to carry on their studies. The latter represents percentage share of student who though
complete their graduation but may or may not continue their education (Crawford 2015). The
report attempts to estimate the relation between graduation and retention rate using sample
data of 29 online colleges in United State.
2. Background
Retention rate in an education institution indicates a situation where student in the
institution continue studies until successfully complete their education (Sutton 2014). It is a
representative measure of efforts and strategies to determine priority of the students before
enrolling into higher studies. In contrast, graduation rate is the rate at which students in an
institution passes only graduation course (Raju and Schumacker 2014). Policymaker assumes
a positive influence of retention on rate of graduation and further higher education. Those
who decide to continue their studies have a higher tendency to successfully complete their
graduation (Soria, Fransen and Nackerud 2013). This helps to increases associated graduation
rate. A higher retention rate has the ability to prepare student to adjust to a learning and
challenging environment. Various studies have been undertaking to estimate the proposed
impact of retention rate on graduation rate (Murnane 2013). Academic professionals and
policymakers show significant interest this field to develop proper strategy to increase
retention and graduation in the institution.
3. Method
In order to analyze the data related to graduation and retention rate, the method of
quantitative data analysis has been employed. This is a data analysis method that is used to

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