Logistic Regression on Demographic Variables Part A on GLM: Please work on the same Example -Rats Survival Dataset in the R library(survival) (See pp. 219-224 in Ch. 11, J. Strickland, 2014).

Use the same R codes in that example to generate the same results as in the text.

Give a good summary and conclusion of your findings with insight.

Logistic Regression on Demographic Variables Part B:

Please work on the example in reference 2, using a logistic regression method on the demographic variables in the adult data to predict if an individual will earn more than $50K? Following the following steps:

Import the data

Check for class bias

Create training and test samples

Compute information value to find out important variables

Build logit models and predict test data

Do model diagnostics

Give a good summary and conclusion of your findings with insight.

The project should have a cover page, following APA format with at least 1000 words (excluding title page and references page) and references page. Please use subtitles to make your assignment reader friendly.

Logistic Regression on Demographic Variables References

Predictive Analytics Using R by Jeffrey Strickland (2014). Retrieved from https://www.slideshare.net/JeffreyStricklandPhD/predictiveanalyticsusingrredc

Logistic Regression. Retrieved from http://r-statistics.co/Logistic-Regression-With-R.html

APA format https://owl.english.purdue.edu/owl/resource/560/01/