STATS Logistic Regression Models Assignment
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STATS Logistic Regression Models Assignment
In the opinion of the instructor, Logistic Regression models will be the most widely used type of analytics that you will encounter. Think of an application of logistic regression, discuss the benefits of the model, and discuss the difficulties of implementing such a model.
EXAMPLE (and you can’t use this one because I just took it!):
http://www.easternwinelabs.com/
In the wine industry, there is interest in knowing ahead of time if a particular vintage will result in good bottles of wine or bad bottles. There is no way to know if the wine is good until it is finished aging. This might take several years. So researchers in the wine industry collected environmental data about the climate, soil, and fertilizers that were available during the grapes growing season. This data is used as inputs into a model. The output is whether the wine is considered good or bad. Thus this is a boolean model. The model can be used to predict which wine should be purchased in bulk, based upon the information.
Although the benefits of this are obvious, there are three obvious difficulties. First, it is difficult to collect the data. Climate, soil, and fertilizer information are from different sources and must be collected and merged into a data set. Second, the target data is highly subjective. Who gets to decide if a wine is “good” or “bad”. Two wine experts might disagree. Lastly, the target is not necessarily truly a binary target. People tend to grade a wine on a scale from 1 to 100. So a boolean model, although simple, might have issues with consistency because different people might like the wine or dislike the wine. Also, the intensity of their opinion might be different.
STAT 200 Final Examination Spring, 2014
Record your answers and work.
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STATS Logistic Regression Models Assignment
RUBRIC
Excellent Quality
95-100%
Introduction 45-41 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Literature Support
91-84 points
The background and significance of the problem and a clear statement of the research purpose is provided. The search history is mentioned.
Methodology
58-53 points
Content is well-organized with headings for each slide and bulleted lists to group related material as needed. Use of font, color, graphics, effects, etc. to enhance readability and presentation content is excellent. Length requirements of 10 slides/pages or less is met.
Average Score
50-85%
40-38 points
More depth/detail for the background and significance is needed, or the research detail is not clear. No search history information is provided.
83-76 points
Review of relevant theoretical literature is evident, but there is little integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are included. Summary of information presented is included. Conclusion may not contain a biblical integration.
52-49 points
Content is somewhat organized, but no structure is apparent. The use of font, color, graphics, effects, etc. is occasionally detracting to the presentation content. Length requirements may not be met.
Poor Quality
0-45%
37-1 points
The background and/or significance are missing. No search history information is provided.
75-1 points
Review of relevant theoretical literature is evident, but there is no integration of studies into concepts related to problem. Review is partially focused and organized. Supporting and opposing research are not included in the summary of information presented. Conclusion does not contain a biblical integration.
48-1 points
There is no clear or logical organizational structure. No logical sequence is apparent. The use of font, color, graphics, effects etc. is often detracting to the presentation content. Length requirements may not be met
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