What other types of challenges might organizations have while developing, implementing, and/or using data mining solutions like this?

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Learning Goal: I’m working on a r writing question and need an explanation and answer to help me learn.For this assignment, you will write data analysis code and write an essay that analyzes the data mining method you conducted for this assignment. You will conduct a regression analysis that includes performing diagnostic checks, creating a linear regression equation, and conducting a sensitivity analysis on the resulting linear regression equation. This assignment allows you to understand the framework for conducting a regression analysis, which is an elementary form of data mining.Before you look at the data set, cf_ANLT5010_W8_ Height_Shoe_Size.txt from the ANLT5010 Data Files (ZIP) package. Read the course file, cf_ANLT5010_W8_ChallengeScenario.docx provided in the resources for this assignment.challenge scenario is (A consumer packaged-goods company has to order specialty shoes for all of its factory workers to ensure that no dust gets into the machinery. The company has a tight regulation-driven deadline and does not have time to survey all current factory workers on all shifts to get their exact shoe sizes. It does, however, have all of the details from their employees’ driver’s licenses from when they were hired (including their heights). The company also has the data for both heights and shoe sizes for all of their 500,000 employees who were current factory workers in the impacted factories as of the end of the year in 2011.Given the tight time-line, the company wishes to estimate the shoe sizes of all current factory workers based on an analysis of this data. Based on the analysis, the company will submit the closest order it can for specialty shoes.Creating an order submission is not part of your assignment. The company’s executive committee will assign another analyst to take your model, run the heights of all current employees through it, and summarize those estimated shoe sizes in order to build and submit the order for specialty shoes. It is especially important that your model be accurate, reliable and valid, or you will be costing the company a tremendous amount of money.)Data Analysis ProgrammingConduct a simple linear regression analysis using SAS or R (lm command).
Check that the assumptions of the linear regression analysis methods are met.
Create and specify the equation of the linear regression model.
Use the linear regression equation to predict the value of the dependent variable given the independent variable.
Conduct a sensitivity analysis on your simple linear regression model.
EssayAnalyze the applicability and limitations of regression analysis, in general, and how to measure the quality of the regression model.
Explain potential dangers of extrapolation using this regression model, in particular, and also using any regression model, in general.
Address the following:What types of challenges did you have in developing this data mining solution?
What other types of challenges might organizations have while developing, implementing, and/or using data mining solutions like this?
How might a data mining solution like this be used by an organization to address its organizational challenges?
Write a 4–7-page summary paper of your analysis including appropriate graphs, program output, or screenshots to support your analysis.
Your assignment will be scored on the following criteria:Analyze the application of an analytics project to organizational challenges.
Describe the challenges pertaining to developing or implementing data mining solutions.
Explain the challenges pertaining to data domain expert and predictive models using regression.
Conduct sensitivity analysis on predictive outcome based on changes in independent variables.
Present analysis of qualitative information to effectively explain or justify a viewpoint or recommendation.
Refer to the Elementary Data Mining Modeling Scoring Guide for more details.Additional RequirementsWritten communication: Written communication is free of errors that detract from the overall message.
Length of paper: 4–7 typed double-spaced pages.
Resources: At least three scholarly resources. Include a reference page at the end of the paper.
APA guidelines: Double-spaced paragraph formatting in the body of the paper. When appropriate, use APA-formatted headings. Resources and citations are formatted according to current APA style and format. See Evidence and APA.
Font and font size: Times New Roman, 11 point font.
Requirements: 4-7

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