Describe the dataset.

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Describe the dataset.
State at least three questions you will be asking of the dataset through your analysis. For each question:
Define the outcome variable for your analysis and show how it is linked with the question and problem you identified.
Define at least two models with at least two different variables that help predict the outcome variable.
Describe these models in words and as formulas.
Report on the analyses you conducted in Python using these models by describing the analyses and their results. Include your Python code.
Provide at least one table and at least one plot for each model. Include your Python code.
Provide an executive summary of your findings.
Include a reflective statement in how you doing this project
You will be assessed on the level of your engagement with the exercise, so for example how many different concepts from Python you implemented (functions, graphs), how well you described the code, whether you used comments, and your overall effort in the exercise. You can receive up to 30 points of credit for the project.
Please put everything in ONE Kaggle notebook.No additional Word documents, PDFs or Google Docs.
Use (+ Markdown) to enter formatted text such as executive summaries and , and (+ Code) for executable code (you are likely doing the latter, already).
Execute all codes so that your plots, tables etc. are visible.
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