Data Driven Decision MakingTemplate
B5.
Identify the appropriate data analysis technique youwill use to analyze this data (e.g., linear programming, crossover analysis, t-test, regression).
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The regression analysis will be the most suitable data analysis technique to be used. Linear regression will be used to understand the changes in hefty fines imposed on financial institutions over years.
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B5a.
Explain why the data analysis technique you chose isan appropriatetechnique to analyze the data collected.
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Regression analysis, in particular, linear regression, uses statistical processes for determining relationships. It will help model relationships and find trends in data. An equation obtained from the data can help draw a graph to better illustrate the trends in data. This can help make predictions of the data. Additionally, linear regression is straightforward and easy to use. |
C.
Sources Used (if applicable)
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Staying the Course in Banking. (2017). Retrieved from The Boston Consulting Group: http://image-src.bcg.com/BCG_COM/BCG-Staying-the-Course-in-Banking-Mar-2017_tcm9-146794.pdf |