IS3310 Yeshivat House Sale Price Prediction & Factors Associated Summary Summary: In the Independent Research Project (IRP), students conduct an analysi

IS3310 Yeshivat House Sale Price Prediction & Factors Associated Summary Summary:

In the Independent Research Project (IRP), students conduct an analysis project using SAS primarily and Excel as needed to analyze real-world data.

In the first assignment (IRP Research Question and Data Set), you identified the data set you wanted to use, developed a research question, and identified a statistical question that could be answered analytically.
In this assignment, you will create and submit a business memo (template attached) that clearly communicates your analysis of the data set you identified in the previous assignment. When you submit this draft of your IRP, you will get feedback from your classmates and your instructor. You should use this feedback to improve your IRP.
In later assignments (IRP Memorandum, IRP Presentation, Presentation Questions Reply), you will submit the final version of your IRP, create and submit a PowerPoint presentation that summarizes your IRP, present your analysis via a recorded video presentation, and answer questions about your presentation.
Peer Review of Draft IRP

Submit your draft IRP to this assignment. It will be reviewed anonymously by three of your classmates. You will also be asked to review the IRPs of three other students. Please be kind and constructive in your comments. Take the feedback you get from this peer review to improve your IRP that will be turned in the next IRP. Sep 15,2019
From: Chen Pan
To:
Mr. Sherman
Subj:
Independent Research Project – Research Question and Data Set
Question:
What factors affect the sale price of a house?
The data of interest was retrieved from House-
Sales-Price-Prediction,
https://www.kaggle.com/kavita5/housepricesalespredication/downloads/Data.csv/1
. The data had 933 records and 9
attributes,Taxi_dist,Market_dist,Hospital_dist,Carpet_area,Builtup_area,Parking_type,City_type,Rainfall
and Price_house.
The attributes Taxi_dist,Market_dist,Hospital_dist,Carpet_area,Builtup_area,Rainfall and Price_house
are numerical, on the contrary, the attributes Parking_type and City_type are categorical.
Data Analysis
I would like to determine whether the
Taxi_dist,Market_dist,Hospital_dist,Carpet_area,Builtup_area,Rainfall and Price_house significantly
affects the sale price of a house. Therefore, a multiple linear regression model is the best statistical tool
of study for the research question of interest. In the study, the dependent variable in the study will be “
sale price of a house” while the dependent variables will include
Taxi_dist,Market_dist,Hospital_dist,Carpet_area,Builtup_area,Rainfal.
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Today’s Date (e.g. 15 August 2017)
From: StudentFirstName StudentLastName
To:
InstructorName
Subj:
Independent Research Project Report: Topic (e.g. Airport Traffic Analysis)
IRP Summary:
Think of this section as an abstract or overview of your research paper. This entire report should be four
to six pages, including tables and charts. Try not to exceed ten pages. Everything that you put into this
paper should have a purpose and add value to your analysis. In the first paragraph of this section,
provide a brief overview of the analytical question you are trying to answer in this analysis. Try to
quickly, but effectively answer the who, what, why, when, where questions of your topic and why we
should care about the topic.
In the second paragraph of this section, discuss the SAS tools and tasks that you used to complete the
analysis, and identify the nature (origins, date, owner – the “meta data”) of the data set you used for
analysis.
In the third paragraph of this section, briefly summarize your findings, conclusions, and clearly
communicate your recommendation. If the decision maker agrees, they may not read past this section
of your report (but your instructor will).
Issue Identification:
In this section, discuss the issue that your analyzing. Consider more deeply the “who, what, why, where,
when, and how?” questions as you discuss the issue, going into more detail than you did in the “IRP
Summary” section. Make sure you identify the primary issue, not a symptom of your problem or
opportunity. This can take some research, and critical thought to arrive at the primary issue.
Issue Analysis:
In the first part of this section, briefly discuss your analysis plan. How do you plan to answer the
question you have about your issue? Make sure you clearly identify the question that you are hoping to
answer.
Data:
Discuss in detail your data, where it came from, how you cleaned it, etc. Provide a table with descriptive
statistics from SAS. This is the section that you fill in based on the “IRP Research Question and Data Set”
assignment.
Analysis:
In this section, discuss your analysis in detail. Include any relevant tables and charts. Do not change the
margins, and make sure all graphics fit on the page and do not break across pages.
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Conclusion:
In this section, clearly identify the analytical conclusion you have reached after your analysis of the data.
Make sure you interpret your findings, parameters, and what you learned from the analysis.
Course of Action Development
In this section, discuss at least three courses of action that could be used to improve a problem or take
advantage of the opportunity identified by your analysis. Try to think of different ways to address the
issue given the resources. Try to think “out of the box”. Consider expensive and inexpensive solutions,
fast or permanent solutions, high quality versus low quality solutions for example.
Recommendation
In this section, discuss your recommendation on how to improve a problem or take advantage of the
opportunity identified by your analysis. Defend your recommendation using the results of your analysis,
but be brief and clear.
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