Part 1: Code
Perform a logistic regression analysis to examine if and to what extent there is a relationship between input variables and the target variable, and then, use an appropriate visualization (graph) to communicate the results.
Part 2: Report of Findings
Week 8
In 1-2 paragraphs, describe the purpose of the logistic regression analysis and how to interpret a logistic regression model.
Based on your analysis, describe and interpret the specific relationship between input variables and the target variable, including the amount of variation denoted by the coefficient of determination, predicted versus actual outputs, and residuals. Include a confusion matrix and statistics, and a receiver operating characteristic (ROC) curve. Embed screenshots of each visualization into your paper.
Write two paragraphs to the business stakeholders,communicating your findings and insights in non statistical terms.
Weeks 1-7
Combine the results of analyses, findings, and interpretations from Weeks 1-7 into a cohesive, professional report of findings for the stakeholders of the selected business case scenario. Be sure to include graphics, annotations, explanations, and effectively communicate the results in a non-technical way. Based on the insights gained from the analyses, provide specific recommendations to the business.
Length: 12 to 15-page report of findings, plus all Week 8 logistic regression R or Python Notebook code file and dataset (CSV)
References:Include a minimum of 5 scholarly resources.
The completed assignment should address all of the assignment requirements, exhibit evidence of concept knowledge, and demonstrate thoughtful consideration of the content presented in the course. The writing should integrate scholarly resources, reflect academic expectations and current APA standards, and adhere to North central University’s Academic Integrity Policy.
