Project2: (County Demographic Information)CDI research

This is my test project, though incomplete, still can be your reference for study and research.
Introduction:
The general purpose of Multiple Regressions (the term was first used by Pearson, 1908) is to learn more about the relationship between several independent or predictor variables and a dependent or criterion variable. In practical application, variables can be numerous, which make it inconvenient to build regression model by all variables (may introduce Multi-Colinearity), therefore, alternatives models which use just some variables out of the whole variables are usually brought forward, an optimal model will be chosen from alternative models. In project 1, two alternative models for predicting the number of active physicians in county demographic information (CDI) have been built and several diagnoses been made to compared the model’s fitness. Besides that, by building Multiple Regression Models according to different sample population, we can study the relations between different sample populations and dependent variable, exploring further how sample population influence variance on dependent variable. Project 2 is a such kind of case that concerns relations between the numbers of serious crimes in CDI against three predictors in four regions (four difference sample populations).
data source:
http://apps.csom.umn.edu/nachtsheim/Kutner/Appendix%20C%20Data%20Sets/APPENC02.txt
snapshot of my report:

If you intrested in CDI Research Report, please send a request email to stefanie.cao@gmail.com with email title of "Request for CDI report". I promise to send you report within in three days.

Project: Credit Scoring Via Logistic Model

Introduction:
Logistic regression model is often applied to large finacial databases. For example, credit scoring is a method of modeling the influence of predictors on the probability that a consumer is credit worthy. The data archive found is in: http://www.stat.uni-muenchen.de/service/datenarchiv/kredit/kredit.asc.
Take a snapshot of my reprot:

Structure of my report:
Abstract.............................................................1
section 1: project objective......................................................................4
section 2: Project Procedure.................................................................. 4
section 3: Selection Algorithms and Variable Description..................5
sectoin 4: Reference Model Building and Diagnose.............................7
section 5: Final Model Justification......................................................14
section 6: conclusion...............................................................................15
supplement.........................................15

Want to get final study report?
Send email to stefanie.cao@gmail.com with title of report request on credit scoring. promise you get the report within three days.