The purpose of this assignment is to use skills you have learned throughout all five weeks of the course. You will be able to apply what they have learned to solve a real world problem that you could use to in your future career.Create a 5- to 6-slide presentation that must include:One slide on the Introduction Introduce your topic and question that you chose in Week 2.Why did it interest you? How does it relate to life?What should the audience learn from your presentation?Three to four slides of your visualsShow your tables, scatter plot, other 2 visuals, calculations, and any other evidence to support your conclusion(s) that you created in Week 3.Explain what information in the data tables is not needed for your analysis.Discuss what you can conclude from the visuals. How do these visuals support your conclusion?One slide for a conclusion Restate your topic and question and give your answer to the scenario.How confident are you that your conclusion is sound?What work would need to be done to increase your confidence?Discuss what you learned from this project.Include detailed speaker notes for each slide.

CompetencyIn this project, you will demonstrate your mastery of the following competency:Perform regression analysis to address an authentic problemScenarioYou 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.Note: This data set has been “cleaned” for the purposes of this assignment.ReferenceFiveThirtyEight. (April 26, 2019). FiveThirtyEight NBA Elo dataset. Kaggle. Retrieved from https://www.kaggle.com/fivethirtyeight/fivethirtye...DirectionsFor this project, you will submit the Python script you used to make your calculations and a summary report explaining your findings.Python Script: Python script complete! See attached pictures!Summary Report: Once you have completed all the steps in your Python script, you will create a summary report to present your findings. Use the provided template to create your report. You must complete each of the following sections:Introduction: Set the context for your scenario and the analyses you will be performing.Scatterplots and Correlation: Discuss relationships between variables using scatterplots and correlation coefficients.Simple Linear Regression: Create a simple linear regression model to predict the response variable.Multiple Regression: Create a multiple regression model to predict the response variable.Conclusion: Summarize your findings and explain their practical implications.What to SubmitTo complete this project, you must submit the following:Summary Report Zip File Word DocumentUse the provided template to create your summary report. The template contains guiding questions to help you complete each section. Be sure to remove these questions before submitting your report. Your summary report should be submitted as a 3- to 5-page Microsoft Word document. It should include an APA-style cover page and APA citations for any sources used. Use double spacing, 12-point Times New Roman font, and one-inch margins.Supporting MaterialsThe following resource(s) may help support your work on the project:Shapiro Library: APA Style GuideThis guide will help you format your cover page and references according to APA style. You are not required to use external resources for this project. However, if you do use any resources, you must cite them in APA format.

Need 350 words reponse for each discussion with references .Provide each in seprate doc - DQ 1 What is the primary purpose of inferential statistics? How might inferential statistics be applied to your intended research study? Explain. - DQ 2 Researchers often assume a normal distribution of data. Why is this significant in quantitative research? Explain.