pls need urgent help now i have a presentation and i want you to take a look of the project paper and add me some of the things i miss
Guidelines and Examples
The team project is a chance for you to develop a research question on your own. Imagine you are a
business analytics consultant. A business hires you because they are struggling and hope to use analysis
of their data to improve the functioning of the business. Alternatively, you could be working for a nonprofit or government agency to improve their effectiveness.
Your research question will utilize regression analysis which looks at the relationship between variables.
In regression analysis you look at whether the variation in one variable correlates with variation in one or
more other variables. Ultimately you are trying to figure out whether a change in one variable will lead
to a predictable change in another. Regression analysis measures how much of an impact independent
variables have on the dependent variable.
Here are some examples of the types of questions you could ask:
Example 1: The examples in chapter 9 examine the effect of the size of houses on their sale price. They
are trying to determine whether a bigger house means a higher sales price. They find that one
additional square foot of house size is associated with an increase in sale price of $35. This type of
analysis would be helpful for both realtors and homeowners.
Example 2: Another example you could look at would be the income of your customers. You?re trying to
figure out whether there is relationship between income and purchases. As consumers have more
income, do they buy more or less of your product? Your findings could be useful in deciding which
customers to target with your advertising.
Example 3: Do interest rates influence growth? You could look at interest rates and economic growth
rates for the past 40 years (or different countries) to see if the move in a consistent way. Are lower
interest rates correlated with economic growth? Research Question
For this project you have to find a data set that is publicly available or that you have access to (for
economic data http://research.stlouisfed.org/fred2/ is a good one, www.gapminder.org for socioeconomic). In order to work for regression observation the data has to have a decent number of
observations (at least 40 or so) with the relevant variables. For example #1 we have a whole list of
individual house sales, each one has information on price and house characteristics. For example #3 we
would look at each quarter of the year as an individual observation, so Q1 1995 we would have
information on both growth rates and interest rates and we would have 4 quarters for each year from
1960-present. When finding a data set, think about what types of information could be potentially useful to a business.
Useful could mean enabling them to better target their customers, identify which products to push, how
to lower production costs, etc. Think about what actions could be taken based depending on the results
of the analysis. Also, think about an area that interests you. This is your chance to explore a topic of your
choosing. (Your question cannot be the same as one of the examples done in the book.) Project write-up:
Your project write-up is due on Wednesday of the week 8.
The project write-up does not have to be long ? you may be able to do it in just a few pages. I will give
you an example to look at. The quality of the write-up itself is more important than the actual findings.
You may find that there is no statistical significance to the factor you assessed, which is an important
finding itself. Your write-up has to include the following elements.
Rationale and research question: What question you are trying to answer and why it is important
to the business.
Descriptive information: Explain to us the variables to be analyzed as well as any important
characteristics of data.
Limitations: Discuss the assumptions of the procedures, uncertainties involved, or other possible
trouble spots of this type of analysis. These have to do with the data set and the relationship between
the variables. This you should do before you conduct any actual regressions.
Analysis: Lay out the procedure you will be using. Conduct the analysis and give the results of the
analysis including, R squared, statistical significance, and the regression coefficients. What do these
results mean? Decide the best way to display your results. There should be some visual element which
could be data tables, graphs, etc. (utilizing the design principles we talked about). Show us the important
results, not just everything excel spits out.
Results and conclusion: Given the results of your analysis, what can you conclude? In this section
you take into account all of the other parts of the paper and focus on what actions would you suggest
based on your analysis.
Appendix (optional) includes other data results and tables here. Do not include your data set. Project presentation:
Along with your write-up you should submit a narrated presentation (you can use PowerPoint, Prezi, or
any other appropriate software). The presentation should be no longer than 7 minutes (it can be
shorter). The content will be the same as the write-up, but you should be selective and decide what the most important aspects of your research are. You should use some type of visuals and utilize the
principles of good design we talked about. For the presentation imagine helping the audience of your
classmates to understand your analysis in a quick timeframe.
PLEASE ASK IF YOU HAVE ANY QUESTIONS!
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Sep 13, 2020EXPERT
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