Scenario of paper:
You are a data analyst for a basketball team and have access to a large set of historical data that you can use to analyze performance patterns. The coach of the team and your management have requested that you come up with regression models that predict the number of wins in a regular game based on the performance metrics that are included in the data set. These regression models will help make key decisions to improve the performance of the team. You will use the Python programming language to perform the statistical analyses and then prepare a report of your findings to present for the team’s management. Since the managers are not data analysts, you will need to interpret your findings and describe their practical implications.
Use the data in the red-squared section in my screenshots.
In the paper, you need to write up paragraphs of the following…
Paragraph one – Introduction: Set the context for your scenario and the analyses you will be performing.
Paragraph two is about Scatterplots and Correlation: Discuss relationships between variables using scatterplots and correlation coefficients.
Paragraph three is about Simple Linear Regression: Create a simple linear regression model to predict the response variable.
Paragraph four is about Regression: Create a multiple regression model to predict the response variable.
Paragraph five will be the Summarize your findings and explain their practical implications.
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