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MGS 8110: Summer 2014

Dr. Satish Nargundkar

 

Tentative Schedule: [7:40 – 10:10 PM] ALC 403 CRN 52307

Assignments are due on the date listed, by midnight

 

All chapter numbers refer to the Miles & Shevlin textbook.

This page will be updated throughout the semester with assignments and other materials as needed.

 

Submit Assignments by email to mgs8110.summer2014@gmail.com

 

Date

Topic

Resources

Assignments Due

(class following the lecture)

Mon 6/9

Introduction

 

Chapter 1

 

Wed 6/11

Analysis of Cross-sectional data

Regression and Correlation

Introduction to R

Chapter 1

 

Mon 6/16

Understanding Simple Regression

Chapter 1

In-class height/arm length data

 

Wed 6/18

Multiple Regression

Chapter 2

Shoe Size Data

Insurance Claims Errors Data

Mon 6/23

Multiple Regression Example 

 

 

 

Lung Capacity Data

 

CI and PI for Regression

 

 

1.    Use Lung Capacity data to recreate preliminary analyses and regression. Submit report and Excel file.

Wed 6/25

Estimation

Simulation of Central Limit

1.    Recreate simulation of Central Limit Theorem.

Mon 6/30

 

Hypothesis Testing

 

 

 

Wed 7/02

Midterm Exam

 

 

Mon 7/07

Midterm recap

Dummy Variables

Chapter 3

Dummy Variables data

 

Wed 7/09

Special Cases in Regression Analysis:

Multicollinearity

Interaction Effects (Moderation)

Multicollinearity data

Chapter 5 (5.3, 5.4)

 

Interaction data

Chapter 7 (7.1, 7.2)

1.   Find or simulate data to demonstrate multi-collinearity.

2.   Do the same for interaction effects.

3.   Write a report on the analysis.

Mon 7/14

Data Scales

Mediation

Chapter 4 (4.1, 4.2)

Chapter 7 (7.3)

 

Wed 7/16

Assumptions in Regression

Chapter 4

1.   Create a table showing the assumptions of regression, the effect of violation, how to detect violations, and how to deal with them when they occur.

Mon 7/21

Other issues, Non-linear models

Chapter 5 (5.1, 5.2)

 

Michael Nielson blog on Causality

Project: Find data with at least 5 independent variables, 100+ observations. At least one categorical variable. Check assumptions, test for one interaction.

Wed 7/23

Other Topics

Project Presentations

 

 

Mon 7/28

Project Presentations

Review

 

 

Wed 7/30

Final Exam 7:00 – 9:30 PM