Project 3
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files (2)MGMT414FinalProjectRubricforPresentations.pdf
Spring2025FinalProject-Updated-MGMT414.docx1.pdf
MGMT414FinalProjectRubricforPresentations.pdf
Name: _______________________________ _______________________________ Date: _______________
MGMT 414: Final Project Evaluation
Title: __________________________________________________________________________
Score RESEARCH and DATA ANALYSIS /30
-Accurately and precisely describes the background and research question.
-Discusses how the data was obtained and how variables were chosen, citing sources.
-Demonstrates and describes their excel data set, scatter plots, and regression output tables.
-Provides logical interpretation of graphs and output measures.
RESULTS and INTERPRETATION /20 -Exhibits critical thinking and brings in their own voice as a researcher to explain the significance, background, and impact of the results of the project.
OVERALL EFFORT, PARTICIPATION and ENTHUSIASM /10 -Presents confidently in both slideshow and excel
-Presentation is neat, interesting and visually appealing.
Score:___/60
COMMENTS:
Spring2025FinalProject-Updated-MGMT414.docx1.pdf
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MGMT 414: Management Analytics 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.
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 statistic and equation on the scatter plot. 𝑅2
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- statistic? Feel free to include other 𝑅2
independent variables in your results to demonstrate how you selected the variables that provide the highest adjusted- . 𝑅2
● 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 statistic for the model 𝑅2
you obtained. Given the results of your model, describe the impact that it could have in the subject matter that you chose.
Dr. Lauren Johnson Spring 2025 MGMT 414 Final Project 2
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Mandatory Slides and Presentation Components:
● Title Slide with professional picture, brief introduction on the researcher, and the
project title.
● Introduction that includes your abstract (Research Problem, Question, and/or
Opportunity and motivation)
● Background of subject matter (Bring in at least 3 academic and current event
sources to explain the relevancy) and Explanation of the Independent, Dependent
Variable selected and considered.
● Describe the dataset source and explain how data was obtained
● Excel Demonstration of your Regression outputs, and scatter plots. Run your
model in real time.
● Results: Use the prompts listed above to interpret your regression results. Display
your Regression Equation
● Conclusion: Explain how your model can be used or built upon for research or
managerial insights.
● Reference Slide
Dr. Lauren Johnson Spring 2025 MGMT 414 Final Project 3
