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# Test a Logistic Regression Model Peer-graded Assignment Solution

## Instruction: Test a Logistic Regression Model Peer-graded Assignment Solution

This week’s assignment is to test a logistic regression model.

Data preparation for this assignment:

1) If your response variable is categorical with more than two categories, you will need to collapse it down to two categories, or subset your data to select observations from 2 categories.

2) If your response variable is quantitative, you will need to bin it into two categories.

The assignment:

What to Submit:

Write a blog entry and submit the URL for your blog. Your blog entry should include 1) the summary of your results that addresses parts 1-3 of the assignment, 2) the output from your logistic regression model.

Example of how to write logistic regression results:

After adjusting for potential confounding factors (list them), the odds of having nicotine dependence were more than two times higher for participants with major depression than for participants without major depression (OR=2.36, 95% CI = 1.44-3.81, p=.0001). Age was also significantly associated with nicotine dependence, such that older older participants were significantly less likely to have nicotine dependence (OR= 0.81, 95% CI=0.40-0.93, p=.041).

## Review criteria: Test a Logistic Regression Model Peer-graded Assignment Solution

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Your assessment will be based on the evidence you provide that you have completed all of the steps. When relevant, gradients in the scoring will be available to reward clarity (for example, you will get one point for submitting an inaccurate or incomplete description of your results, but two points if the description is accurate and complete). In all cases, consider that the peer assessing your work is likely not an expert in the field you are analyzing. You will be assessed equally on all parts of the assignment, and whether you post your program and output.

##### Conclusion:

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