PREDICT 410: Predictive Modeling I Final Exam Study Guide
The final exam for PREDICT 410 will be administered in two parts: (1) a proctored exam
administered through Canvas and monitored by ProctorU, and (2) an unproctored take-home
exam administered thro
PREDICT 410: Predictive Modeling I Syllabus
William T. Mickelson, Ph.D.
TEACHING ASSISTANT: Laurence Schneider
This course develops the found
Principal Components Analysis with SAS
In this document we will outline the SAS procedures for performing principal components
analysis using the SAS procedure PROC PRINCOMP. In addition to the standard SAS
arguments, we will focus on the SAS options need
Summary of the linear regression component of Predict 410:
(1) Experienced the formulation of a typical data modeling project.
Every data modeling project starts with some data and a rough
problem, if you are lucky. Some data modeling projects start with
Introduction to Principal Components Analysis
What is Principal Components Analysis?
Statistical Interpretation - PCA is a transformation of a set of correlated random variables to a set of uncorrelated (or orthogonal) random
Factor Analysis with SAS
In this document we will outline the SAS procedures for performing the most common types of
factor analysis using the SAS procedure PROC FACTOR. By doing so, we will focus on calling
the correct SAS options to ensure that we are f
Estimation and Inference for Ordinary Least Squares Regression
Estimation - Simple Linear Regression
A simple linear regression is the special case of an OLS regression model
with a single predictor variable.
Y = 0 + 1 X +
For the ith observation
Statistical Inference Versus Predictive Modeling
in Ordinary Least Squares Regression
There are two reasons to build statistical models: (1) for inference, and
(2) for prediction.
Statistical inference is focused on a set of formal hypoth
Statistical Assumptions for Ordinary Least Squares Regression
In Ordinary Least Squares (OLS) regression we wish to model a continuous random variable Y (the response variable) given a set of predictor
variables X1 , X2 , . . ., Xk .
Analysis of Variance and Related Topics
for Ordinary Least Squares Regression
The ANOVA Table for OLS Regression
The Analysis of Variance or ANOVA Table is a fundamental output from a
tted OLS regression model. The output from the ANOVA table is used fo
Exploratory Factor Analysis
Introduction to Exploratory Factor Analysis
What is Factor Analysis?
Factor analysis is a statistical modeling technique used to model the
covariance structure in multivariate data.
Factor analysis is a statistical modeli