STAT 425 Course Notes
Binomial Regression:
Models and Estimation
[ ELMR2, Chapters 24 ]
Fall 2016
Binary Data
A class variable takes qualitative, rather than quantitative
values. We have seen how to use class variables as
independent variables, but not as
STAT 425 Course Notes
Binomial Regression:
Inference and Diagnostics
[ ELMR2, Chapters 24 ]
Fall 2016
We develop theory and expressions for the case of logistic
regression.
Other kinds of binomial regression (e.g. probit) may have
different, but similar,
STAT 425 Sections 3UG, 3GB Fall 2016
Midterm Exam I
October 5, 2016
Full Name: ME
o This is an 80 minute exam. There are 6 problems, one of which has portions for the
graduate section only.
The exam is worth a total of 55 points for the undergraduate se
STAT425HW6Solution
Wenjing Yin
November 14, 2016
Problem 1 (8 pts)
(a)
# You could also work with original data format
BFHS = read.table('BFHS.dat', header = TRUE)
mydata = matrix(0, nrow = 26, ncol = 3)
colnames(mydata) = c('Town', 'group', 'average')
my
STAT 425 Fall 2016 Sections 3UG, 3GR
Homework 5
Please submit your assignment on paper, following the Formatting Guidelines for Homework
Submission. (Even if correct, answers might not receive credit if they are too difficult to read.)
Remember to include
STAT 425 Fall 2016 Sections 3UG, 3GR
Homework 2
Please submit your assignment on paper, following the Formatting Guidelines for Homework
Submission. (Even if correct, answers might not receive credit if they are too difficult to read.)
Remember to include
Computing Primer for Applied Linear Regression, Third Edition
Using R and S-Plus
Sanford Weisberg University of Minnesota School of Statistics October 23, 2007
c 2005, Sanford Weisberg
Home Website: www.stat.umn.edu/alr
Contents
Introduction 0.1 Organizat
2
SCATTERPLOTS AND REGRESSION
PROBLEMS
3
300
150
Mean length 200 250
100
1 Age
Average Soil Temperature 5 0 0 5
The means appear to fall very close to a straight line, in agreement with the text. Apart from age 8, with only 4 sh, the SDs are mostly around
STAT 425 Course Notes
Random Effects and
Split-Plot Designs
[ ELMR2, Chapter 10 ]
Fall 2016
Fixed versus Random Effects
Recall the one-way ANOVA model
Yij = + i + ij
Previously, we assumed the i s were parameters: fixed,
unknown values. (We also needed a