## Assignment 12

## Learning Objectives

- create a logistic regression model
- predict a binomial value
- evaluate statistical significance of model parameters

## Data Files & Tools

## Tasks

- Divide the provided data set into random two subsets: a training data set (70%) and a test data set (30%).
- Construct a logistic regression model to predict the probability of a passenger surviving the Titanic accident.
- Test the statistical significance of all parameters and eliminate those that have a
*p*-value > 0.05 - Test the model against the test data set and determine its prediction accuracy (as a percentage correct).
- Determine if the model has bias, e.g., false positives (someone is called dead when they actually survived) vs false negatives (someone classified as survived when they actually died).

## Deliverables & Submission Instructions

Submit your

*.Rmd*plus your*.nb.html*file generated by R Notebooks combined into a zip file. Upload the zip file to Blackboard. ## Scoring

*Total Number of Earnable Points*: 100

*Approximate Time to Complete*: 2-3 hours

*Due Date*: see Calendar or Blackboard