Your submission must represent your original work and understanding of the course material. Most performance assessment submissions are automatically scanned through the WGU similarity checker. Students are strongly encouraged to wait for the similarity report to generate after uploading their work and then review it to ensure Academic Authenticity guidelines are met before submitting the file for evaluation. See Understanding Similarity Reports for more information. Grammarly Note: Professional Communication will be automatically assessed through Grammarly for Education in most performance assessments before a student submits work for evaluation. Students are strongly encouraged to review the Grammarly for Education feedback prior to submitting work for evaluation, as the overall submission will not pass without this aspect passing. See Use Grammarly for Education Effectively for more information. Microsoft Files Note: Write your paper in Microsoft Word (.doc or .docx) unless another Microsoft product, or pdf, is specified in the task directions. Tasks may not be submitted as cloud links, such as links to Google Docs, Google Slides, OneDrive, etc. All supporting documentation, such as screenshots and proof of experience, should be collected in a pdf file and submitted separately from the main file. For more information, please see Computer System and Technology Requirements. You must use the rubric to direct the creation of your submission because it provides detailed criteria that will be used to evaluate your work. Each requirement below may be evaluated by more than one rubric aspect. The rubric aspect titles may contain hyperlinks to relevant portions of the course. Complete your linear regression analysis and create a report by doing the following: Note: The supporting document “Linear Regression Analysis Resources” contains a scenario, data set, and data analysis template. While you must use the scenario and data set provided in the supporting document, the template is optional. You are encouraged to use the template to complete your analysis. Please see supporting document, “QUM Task 1 Getting Started,” for help accessing the scenario and dataset. A. Summarize the business scenario by doing the following: 1. Describe a business question that could be answered by applying linear regression analysis and is derived from the scenario in the attached “Linear Regression Analysis Resources.” 2. State the null hypothesis for this linear regression analysis. 3. Using relevant details from the scenario, the business question you proposed in part A1, and the null hypothesis you stated in part A2, justify why linear regression is the appropriate analysis technique. B. Describe the data provided in the attached “Linear Regression Analysis Resources” by doing the following: 1. Describe the relevant data characteristics for your linear regression analysis, including each of the following: • independent variable or variables • dependent variable • level of measurement for each variable • sample size or number of observations C. Report how you analyzed the data using linear regression by doing the following: 1. Provide the output and calculations of the linear regression analysis you performed. Note: The output should include the output from the software you used to perform the analysis. Refer to “Prepare for the Performance Assessment Task 1” in the course of study to see examples of acceptable output. 2. Create a graphical display of the data using a scatter plot that includes each of the following: • chart title • legend • axis titles Note: This display should be a summary or representation of the data provided, not raw data. D. Describe the implications of your data analysis from the scenario by doing the following: 1. Interpret the results of the data analysis by doing the following: a. Discuss the goodness of fit with the supporting test statistic from your linear regression analysis output. b. Discuss the significance of the independent variable(s) with support from your linear regression analysis results. c. Create the linear equation, then describe how it can be applied to the scenario in future business decision-making. 2. Discuss a limitation of the research that could affect the recommended course of action. 3. Recommend a course of action that aligns with your linear regression analysis results. Note: Your recommendation should focus on the results of your analytic technique output from part C1. E. Acknowledge sources, using in-text citations and references, for content that is quoted, paraphrased, or summarized. F. Demonstrate professional communication in the content and presentation of your submission
