Stat 224 Practice Final Exam, Spring 2016
Name:
Question 1:
of 6 pts
Question 2:
of 15 pts
Question 3:
of 12 pts
Question 4:
of 9 pts
Question 5:
of 35 pts
Question 6:
of 15 pts
Total:
of 92 pts
1. Th
HSTD 334/Stat 224
Applied Regression Analysis
MIDTERM EXAM 4 November 2014
NAME: (Q _Student ID (if any): _._
INSTRUCTIONS: You have 1 hour 20 minutes (full class period) to work on this exam.
Questio
STAT 224 / HSTD 324
Solutions to Problem Set 1
Fall 2014
Possible points 90.
1. [6 pts, 2 pts each] Exercise 2.2
(a) Disagree. Cov(Y, X) can take any value between to +, but the correlation measure
co
Stat 224 Practice Final Exam, Spring 2016
Name:
Question 1:
of 6 pts
Question 2:
of 15 pts
Question 3:
of 12 pts
Question 4:
of 9 pts
Question 5:
of 35 pts
Question 6:
of 15 pts
Total:
of 92 pts
1. Th
Stat 224, Spring 2016, Homework 1
Due online on Monday, April 11 at 11:59pm.
1. (Modified Exercise 2.2 )
Explain why you would or would not agree with each of the following statements:
(a) Cov(Y, X) a
STAT 224 / HSTD 324
Problem Set 3
Fall 2014
Possible points 67
1. [12 pts, 3 pts for each part] Exercise 4.1(a)
Check to see whether or not the standard regression assumptions are valid for the follow
STAT 224 / HSTD 324
Problem Set 4
Fall 2014
Possible points 78.
1. [20 pts total] Modied from Exercises 5.4
Perform a thorough analysis of the Education Expenditures data in Tables 5.12, 5.13, and
5.1
Stat 224 Pset 3
October 29 2015
1. Model Form: The following scatterplot matrix indicates that there seems
to be no substantial colinearity between the predictor variables (other than
between days and
STAT 224 / HSTD 324
Problem Set 1
Fall 2014
Possible points 90.
1. [6 pts, 2 pts each] Modied Exercise 2.2
Explain why you would or would not agree with each of the following statements:
(a) Cov(Y, X)
STAT 224 / HSTD 324
Problem Set 2
Fall 2014
Possible points 64.
1. [15 pts total] Exercise 3.3
Table 3.10 shows the scores in the nal examination F and the scores in the two preliminary
examinations P
STAT 224 / HSTD 324
Solutions to Problem Set 4
Fall 2014
Possible points 78
1. [20 pts total] Modied from Exercises 5.4
Perform a thorough analysis of the Education Expenditures data in Tables 5.12, 5
STAT 224 / HSTD 324
Problem Set 2
Fall 2016
Due Oct 15th 6pm. Possible points 65.
1. [15 pts total] Exercise 3.3
Table 3.10 shows the scores in the final examination F and the scores in the two prelim
STAT 224 / HSTD 324
Solutions to Problem Set 2
Fall 2014
Possible points 64.
1. [15 pts total] Exercise 3.3
. use http:/www.ats.ucla.edu/stat/stata/examples/chp/p076, clear
(a) The scatter plots indic
STAT 224 / HSTD 324
Solutions to Problem Set 5
Fall 2014
Possible points 45.
1. [15 pts total] Exercises 6.7
. use http:/www.ats.ucla.edu/stat/stata/examples/chp/p179, clear
0
5000
Barrels
10000
15000
STAT 224 / HSTD 324
Solutions to Problem Set 3
Fall 2014
Possible points 67.
1. [12 pts, 3 pts for each part] Exercise 4.1(a)
The model used is regress currentm previous fat protein days lactatio i79.
STAT 224 / HSTD 324
Problem Set 5
Fall 2014
Possible points 45
1. [15 pts total] Exercises 6.7
Oil Production Data: The data in Table 6.19 are the annual world crude oil production in
millions of barr
HW2 STATA Help
To perform correlation of variables
cor y var1 var2
To perform regression and F test to test significance of variable
regress y var1 var2
test var1
To test if two variables are statisti
PBHS 32400/STAT 22400 Autumn 2015
Categorical Predictor Variables
Not all potential predictors in a regression model need to be
values measured on a continuous numeric scale. In fact, in
addition to
PBHS 32400 / STAT 22400
History of Linear Regression
Early Ideas and Methodology
Early 1800s, Legendre, Laplace, Gauss (1822) fully established
key properties of method of least squares (we will talk
PBHS 32400 / STAT 22400
Variable (Model) Selection
Thus far we have mostly worked with example problems where
predictor variables were identified in advance. All or most of these
had some value towar
More Multiple Linear Regression
45
Testing in Multiple Regression - subsets of coefficients
The hypothesis setup is:
H0 : j = k = . . . = m = 0
H1 : at least one of these 6= 0
We use properties of the
PBHS 32400 / STAT 22400 J. Dignam
Regression Models for a Probability of Response Outcome
To now we have talked about regression models where the
response variable Y was continuous and (approximately
Regression Diagnostics II: More about Residuals and Influence
it was mentioned that residual analysis is most useful when we
have multiple predictors and simple scatter plots are not possible.
That i
PBHS 32400 / STAT 22400 J. Dignam
More on Logistic Regression
Recall that logistic regression provides a way of relating predictor
variables X to binary (0,1) outcome variable Y . This outcome
variab
Confounding
Confounded in ordinary English means confused or perplexed.
The statistical use is essentially the same: our attempt to estimate
the true effect of weight on heart disease was unsuccessf
PBHS 32400 / STAT 22400 J Dignam
Multicollinearity in Multiple Regression
What is multicollinearity? Example from Table 9.1 and 9.2 of
C&H: Equal Educational Opportunity (EEO) data:
Measurements were
More on Simple Linear Regression
Problem: Mercury levels in fish tissue for largemouth bass in
the Wacamaw and Lumber Rivers
Rivers in North Carolina contain small concentrations of mercury,
which can
PBHS 32400 / STAT 22400 Autumn 2015 J. Dignam
Adjusting for Unequal Variance (Heteroscedastic Errors)
We looked at some transformations that deal with situations
where the response variable is not no
STAT 224 / PBHS 324
Problem Set 1
Autumn 2015
Possible points 80
1. [4 pts, 2 pts each] Modified Exercise 2.2
Explain why you would or would not agree with each of the following statements:
(a) Cov(Y,
STAT 224 / PBHS 324
Solutions to Problem Set 2
Fall 2017
Possible points 63.
1. [15 pts total] Exercise 3.3
(a) [3pts] Display the relationships among the three variables and comment
The scatter plots
STAT 224 / PBHS 324
Solutions to Problem Set 3
Fall 2016
Possible points 67.
1. [12 pts, 3 pts for each part] Exercise 4.1(a)
The model used is regress currentm previous fat protein days lactatio i79.
STAT 224 / PBHS 324
Solutions to Problem Set 6
Fall 2016
Possible points 67.
1. [6 pts] Exercise 8.2
(a) [3 pts] The Durbin-Watson statistic is found as follows. Here, we are using the log of the
numb
Stat 22400 / PBHS 32400
Applied Regression Analysis
MIDTERM EXAM October 27, 2016
NAME:
Cnet ID (if you have one):
INSTRUCTIONS: You have 1 hour and 20 minutes to work on this exam. The total is
100.
STAT 224 / PBHS 324
Solutions to Problem Set 1
Fall 2017
Possible points 90
1. [6 pts, 2 pts each] Modified Exercise 2.2
(a) Disagree. Cov(Y, X) can take any value between to +, but the correlation me