Write a brief final report describing your research plan and
anticipated results. As an appendix, you MUST INCLUDE a table summarizing your DV, IVs, and other control variables to your final report, and submit your report(s) electronically. Write the report for someone who knows basic probability and statistics, but who does not know (or care) anything about how your model is designed. In other words, you must describe each variable and summarize what you would do based on the anticipated regression results.
REQUIREMENTS FOR FINAL REPORT
The steps in your project will include:
SECTION CONTENTS
Introduction Defining a business problem to be examined and stating the purpose of the
study.
Hypothesis Establishing research hypotheses. The total number of hypotheses must be
equals to or greater than your group size. However, your individual final
report will contain your hypothesis/hypotheses only.
Model Describing how you designed your model. Explaining variables, approximate
sample size, anticipated results, and rationales behind your anticipation.
Conclusion Discussing what business decisions would be reasonable based on the
anticipated regression results.
MILESTONES
o Interim Report: Submit a brief proposal of what you plan to run a regression, and “what
business questions you’ll address with your model.” An upload area for this will be set up
in Sakai. One student per group will submit one interim report in PDF.
o Presentation: Present each of four sections and answer to audiences’ questions. All team
members have to present.
o Final Report: Submit a final individual report. You must describe what you would do
with the anticipated results, and include a table summarizing information of variables in
your model as appendices (with references or other supplements if necessary). Use your
own words.
FORMAT
12-point font; Times New Roman or equivalent; double-spaced; 1-inch margin; 2 page not
including appendix (e.g., a table of summary, references, graphs); include your CIDs; online
submission; an APA style reference list
Example:
Summary of Variables
Variable Variable Name Variable
Type Definition/Description Expected
Sign
Possible Data
Source
Y Prepayment
rate DV
Monthly prepayment
of mortgage loans in
one pool of mortgagebacked security issued
in 2010
Ginnie Mae
X1 Prepayment
penalty IV
1 = if there is a
prepayment penalty
0 = if there is no
prepayment penalty
− Ginnie Mae
Z1 Spread CV
Mortgage
rate−Average
mortgage market rate
+
http://www.
mortgage
newsdaily.com/
mortgage_rates/
daily.aspx
Z2 Maturity CV Monthly age of
mortgage loans − Ginnie Mae
Z3 Credit rating CV Average credit rate − Ginnie Mae
Z4 Unemployment CV Unemployment rate −/+
Bureau of Labor
Statistics
https://data.bls.
gov/pdq/
SurveyOutput
Servlet?request_
action=wh&graph
_name
=LN_cpsbref3
Z5 Changes in
house prices CV Percentage change of
Housing Price index +
Federal Housing
Finance Agency
https://www.fhfa.
gov/DataTools/
Downloads/pages
/house-priceindex.aspx
Your model has to contain at least seven variables including one dependent variable and at least one independent variable.
Sample Solution
