For this assignment, you will write data analysis code and write an essay that a

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.
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Data Analysis Programming
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Conduct a simple linear regression analysis using SAS.
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Check that the assumptions of the linear regression analysis methods are met.
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Create and specify the equation of the linear regression model.
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Use the linear regression equation to predict the value of the dependent variable given the independent variable.
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Conduct a sensitivity analysis on your simple linear regression model.
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Essay
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Analyze the applicability and limitations of regression analysis, in general, and how to measure the quality of the regression model.
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Explain potential dangers of extrapolation using this regression model, in particular, and also using any regression model, in general.
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Address the following:
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What types of challenges did you have in developing this data mining solution?
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What other types of challenges might organizations have while developing, implementing, and/or using data mining solutions like this?
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How might a data mining solution like this be used by an organization to address its organizational challenges?
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Write a 4 page summary paper of your analysis including appropriate graphs, program output, or screenshots to support your analysis.
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Your assignment will be scored on the following criteria:
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Analyze the application of an analytics project to organizational challenges.
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Describe the challenges pertaining to developing or implementing data mining solutions.
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Explain the challenges pertaining to data domain expert and predictive models using regression.
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Conduct sensitivity analysis on predictive outcome based on changes in independent variables.
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Present analysis of qualitative information to effectively explain or justify a viewpoint or recommendation.
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Refer to the Elementary Data Mining Modeling Scoring Guide for more details.
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Additional Requirements
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Written communication: Written communication is free of errors that detract from the overall message.
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Length of paper: 4 typed double-spaced pages.
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Resources: At least three scholarly resources. Include a reference page at the end of the paper.
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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. S
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Competencies Measured
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By successfully completing this assignment, you will demonstrate your proficiency in the following course competencies and scoring guide criteria:
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Competency 3: Revise the data mining concepts.
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Analyze the application of an analytics project to organizational challenges.
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Describe challenges pertaining to developing or implementing data mining solutions.
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Explain challenges pertaining to data domain expert and predictive models using regression.
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Conduct sensitivity analysis on predictive outcome based on changes in independent variables.
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Competency 6: Communicate the decision-making process to stakeholders.
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Present analysis of qualitative information to effectively explain or justify a viewpoint or recommendation.
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