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[>Management homework help](https://www.sweetstudy.com/fields/business-finance-management) – a year ago **files (2)** – ## MGMT414FinalProjectRubricforPresentations.pdf – ## Spring2025FinalProject-Updated-MGMT414.docx1.pdf **## MGMT414FinalProjectRubricforPresentations.pdf** Name: _________…

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[>Management homework help](https://www.sweetstudy.com/fields/business-finance-management)

– a year ago

**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**

Page 1/3

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

Page 2/3

● (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

Page 3/3

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

**## Spring2025FinalProject-Updated-MGMT414.docx1.pdf**

Page 1/3

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

Page 2/3

● (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

Page 3/3

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

**## 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**

Page 1/3

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

Page 2/3

● (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

Page 3/3

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

**## 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**

Page 1/3

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

Page 2/3

● (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

Page 3/3

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

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