Logistic Regression and Linear Regression Project

Logistic Regression and Linear Regression Project

Table of Contents

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Instructions

Logistic Regression and Linear Regression Project

Project Logistic Regression

You will use the state data that you used in your linear regression project. Choose one or more numerical predictor variables, and one binary outcome. If any of your predictors have large p-values, be sure to justify why you are including them.

Please do not use HINCP or FINCP to predict FS:

For your final report:

Include and explain all relevant output.

Explain what (each of) your independent variable(s) is measuring and discuss the value (especially sign!) of its coefficient in the regression model.

Discuss any outliers in your predicted vs observed graph.

To really impress, make a prediction for a particular household with a given set of predictor variables.

Rubric for Project (40 points)

8 points: Model, including output including tables and p-values.

8 points: Graph. Comment on what you can learn from the graph, and what you get from the output that isn’t represented well in the graph. Is your model correctly predicting most of the outcomes?

8 points: Describe independent variable(s). Use the PUMS data dictionary as a starting point and explain in your own words.

8 points: Describe the model in your own words. Does it seem plausible to you?

8 points: Contrast with a linear regression model on the same data. Which do you prefer, and why?

Note: Many of the binary variables are not defined as 0’s and 1’s, they are 1’s and 2’s or they may be ordinal variables and defined as 0’s, 1’s and 2’s. Because of this, we need a way to recode our data.

Logistic Regression and Linear Regression Project

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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Logistic Regression and Linear Regression Project

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