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Final Project Information.
Create your own regression model based on an observation or research question
that you individually develop. Please see blackboard for possible data sources and
research ideas. Include at least 20 observations and at least 1 independent variable but no
more than 4. Run the regression function using the data analysis tab to get your output
tables. Create Scatter plots for every independent variable. Interpret your results.
There will be 100 Points total.
Key Dates and Deadlines:
● (10/100 Points) By Sunday, May 4th: Submit your project topic and preliminary
abstract for written feedback. In addition, describe the dataset you wish to use.
● (60/100 Points) By Monday, May 19th: You will be required to submit a Zoom
video recording of your final project that discusses your regression project.
● (30/100 Points) By Monday, May 19th: Submission of your corresponding excel
file, PowerPoint file, and link to data sources.
Abstracts should be no more than 200 words to describe: the research problem and
motivation, background and related work, independent/dependent variables, results, and
contributions to your field of choice.
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Include in your Slideshow:
● Identify and Justify the variables that you want to include in your analysis.,
● Include your instrument measurement or link to where data was obtained.,
● Show the raw data that you entered into excel: X|Y,
● Prepare scatter plots showing the relationship between the dependent variable,
(must be continuous) and the independent variable(s)., What sort of relationship
does your plot suggest? ,Show the 𝑅 statistic and equation on the scatter plot.
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Dr. Lauren Johnson Spring 2025 MGMT 414 Final Project 1
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● (If more than one Independent Variable)What set of independent variables results
in the highest value for the adjusted-𝑅 statistic? Feel free to include other
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independent variables in your results to demonstrate how you selected the
variables that provide the highest adjusted-𝑅 .
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● In a paragraph format, describe your research question and regression model that
you developed. Were you able to examine a relationship or develop a model to
make future predictions? What is the final regression function for your model?
This should include an interpretation of the adjusted 𝑅 statistic for the model
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you obtained. Given the results of your mod
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