Lecture 1
Wed Jan. 16
36-202
Spring 2013
Review of Exploratory Data Analysis (EDA)
Reminder: The big picture of applied statistics:
[reference: 36201 lecture notes]
This document is available on: http:/www.cmu.edu/blackboard (under course content)
Statist
Lecture 9
Mon, Feb. 4
36-202
Spring 2013
The Danger of Multicollinearity
[Reserve Material Reference:
The Collinearity section of chapter 31 of Stats: Data and Models by Deveaux et al]
In a multiple linear regression (when you have more than one explanato
Lecture 8
Fri, Feb. 1
36-202
Spring 2013
Continuing Multiple Linear Regression
[Reserve Material References:
Chapter 13 of Statistics By Agresti and Franklin;
Chapter 11 of Introduction to the Practice of Statistics by Moore, McCabe;
Chapter 30 of Stats:
Lecture 7
Wed, Jan. 30
36-202
Spring 2013
Multiple Linear Regression
[Reserve Material References:
Chapter 13 of Statistics By Agresti and Franklin;
Chapter 11 of Introduction to the Practice of Statistics by Moore, McCabe]
Chapter 30 of Stats: Data and M
Lecture 6
Mon, Jan. 28
36-202
Spring 2013
Non-Linear Relationships
[Reserve Material References:
The Beyond the basics: Nonlinear regression section in Chapter 10 of Introduction to the Practice of Statistics by Moore, McCabe;
Section 2.6, Transforming Re
Lecture 5
Fri, Jan. 25
36-202
Spring 2013
Finishing Simple Linear Regression:
Modeling the Relationship Between 2 Quantitative Variables
[Reserve Material References:
Chapter 12 of Statistics By Agresti and Franklin;
Chapter 10 of Introduction to the Prac
Lecture 4
Wed, Jan. 23
36-202
Spring 2013
Simple Linear Regression (continued):
Modeling the Relationship Between 2 Quantitative Variables
[Reserve Material References:
Chapter 12 of Statistics By Agresti and Franklin;
Chapter 10 of Introduction to the Pr
Lecture 3
Mon, Jan. 21
36-202
Spring 2013
Simple Linear Regression:
Modeling the Relationship Between 2 Quantitative Variables
[Reserve Material References:
Chapter 12 of Statistics By Agresti and Franklin;
Chapter 10 of Introduction to the Practice of St
Lecture 2
Fri, Jan. 18
36-202
Spring 2013
Review of One-Variable Inference
Inference, as seen through the big picture of applied statistics:
[reference: 36201 lecture notes]
Inference for one parameter:
Using information from sample data to draw conclusio
Lecture 10
Wed, Feb. 6
36-202
Spring 2013
Including Categorical Variables in the Regression Model
[Reserve Material Reference:
Section 13.5, How Can Regression Include Categorical Predictors, of Statistics by Agresti and Franklin)]
Up to this point, we ha