I'm using 2005 NFL stats to come up with a multiple linearregression analysis models with the winning percentage being thedependent variable. My question would be, what are the mostsignificant variables that are used in deciding an NFL team'scapacity to win? Passing yards, rushing game, defense or fieldgoals are some of my independent variables. But I’m consideringadding the defensive stats to the regression. How do I complete theintroduction and model subtopics for my presentation?
1. Introduction
A. Topic: Select a topic of research in an areaof applied science in which you are interested. Make sure to getinstructor approval before proceeding. Use research literature toprovide an introductory summary of the topic that establishes yourinterest and expertise within the area of study.
B. Research Question: Formulate an analytical,researchable question based on your topic. The scope of yourresearch question should be reasonable given the time constraintsof the course.
C. Information: Gather and summarize applicabledata, research, or other information that you intend to use in thecreation and analysis of your model. For example, you might firstconsider principles or data sets to inform the creation andanalysis of your model.
D. Assessment: Assess the appropriateness ofthe information you gathered. How will the information help youcreate an effective mathematical model to address your researchquestion? Are there any underlying assumptions or limitations inthe information you gathered?
II. Model
A. Selection: Select a model type to create.Defend your selection, comparing it to other types of models. Inother words, why did you choose your model type? Does the modeltype you chose, have any limitations? What comparative tests canyou perform to support your model choice? Use research to supportyour model type selection.
B. Creation: Create the model using theinformation you gathered. Remember to be cognizant of the researchquestion and to use appropriate mathematical tools, technology,theoretical underpinnings, and/or data, if applicable.
C. Process: Explain the process you used tobuild your model. Include your reasoning for specific choices anddecisions you made while building your model. Use research tosupport your choices.
D. Tools: What tools and techniques did you useto create your model? Why are these tools and techniquesappropriate for the information you gathered, and the model typeyou selected? Be sure to provide support for your choices.
E. Analysis: Analyze the results of your modelto determine whether the model fits the research question andinformation you gathered. How well do the model results fit thequestion and information? Consider including computational tests orgraphical displays to support your argument.
F. Limitations: What limitations does yourmodel have? Use algorithmic, tabular, and graphical displays toarticulate the limitations of your model.
G. Approach: Explain the approach that you tookto answer your research question. Be sure to fully explain theprocess and steps you used to achieve your results. H.Applicability: Articulate the purpose for your model. Howapplicable is the model to the research question? How does themodel help you answer your research question? How well does italign to the research
