Reference no: EM132217014
Required Readings
Dickey, J. W., Birdsall, I. A., Larkin, G. R., & Kwang, K. S. (2015). Supernumerary intelligence: A new approach to analytics for management. Charlotte, NC: Information Age Press.
Chapter 11, "Step 5. Individual Relationship Development" (pp. 151-164)
Chapter 12, "Step 5. Individual Relationship Development (Continued)" (pp. 165-200)
Appendix A, "Some Basic Statistics and Mathematics" (pp. 293-306)
1. Discussion: Step 5-Individual Relationship Development
Regression covers a range of statistical techniques that attempt to find patterns in data and quantitative relationships between variables. These are powerful tools that allow you to make sense of a bunch of numbers, but they are not infallible, so organizational leaders and analysts need to understand potential drawbacks in interpreting the results of regression analysis.
Review Appendix A of your course text, focusing on regression.
Think about the times you have used regression or examples of regression from your Learning Resources and the benefits it provided.
Think about the drawbacks of regression described in Chapter 11 of the text.
With these thoughts in mind:
Post your analysis of the benefits and drawbacks of regression analysis. You need not include all the drawbacks cited in your text, but include two or three.
2. Assignment: Regression Analysis
When you consider the complexities and possible errors inherent in regression analysis, you may be prompted to rethink some of the data types you originally planned to collect. Perhaps there are variables you had not considered before that might affect your results. You may need to revisit your analysis several times.
Think about the public policy and administration issue you have been examining throughout the course.
Consider the types of questions you might ask in order to collect more data for regression analysis.
In 2-3 pages:
Provide an explanation of why the regression analysis step is central to the SI process.
Discuss the reasons why so much emphasis has been placed on regression analysis, the concepts underlying regression analysis, and how those concepts can help you understand a phenomenon.
Attachment:- Discussion.zip
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