Spring 2012
STAT 512
HW 4 KEY
Homework 4 (10 pts.)
due Feb. 10
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only
those results that are necessary to
STAT 512
HW 1
Spring 2012
1. The percentage grades in a statistics course that two students will obtain this semester are
denoted by X1 and X2 . Assume X1 and X2 are independent, with the following me
1. A regression analysis relating test scores (Y) to training hours (X) produced the following
fitted equation: y 15 0.9 x .
(a) What is the fitted value of the response variable corresponding to x =
STAT 512
MidTerm I (2/15/2012)
Section (circle):
Spring 2012
12:30 pm
1:30 pm
Name: _KEY_
INSTRUCTIONS
1. This exam is open book/open notes. All papers (but no electronic devices except for calculator
Statistics 512: Solution to Homework#4
1. Consider the following SAS output giving 5 condence intervals for the mean of Y . If you
wanted to guarantee that joint coverage of the ve condence intervals
INTRODUCTION TO SAS
STAT 512
Statistical analyses, in practice, are always carried out by computer software. In this class, I will
focus on the use of SAS to perform these analyses, specifically SAS f
Spring 2012
STAT 512
HW 3 Key
Homework 3 (15 pts. + 1 pt. BONUS)
due Feb. 3
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only
those results that are
Spring 2012
STAT 512
HW 3
Homework 3 (15 pts. + 1 pt. BONUS)
due Feb. 3
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only
those results that are nece
STAT 512
HW 1
Spring 2012
1. The percentage grades in a statistics course that two students will obtain this semester are
denoted by X1 and X2 . Assume X1 and X2 are independent, with the following me
Spring 2012
STAT 512
HW 3 Key
Homework 3 (15 pts. + 1 pt. BONUS)
due Feb. 3
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only
those results that are
Statistics 512: Problem Set No. 1
Solutions
1. A regression analysis relating test scores (Y ) to training hours (X ) produced the following
tted question: y = 25 0.5x.
(a) What is the tted value of t
STAT 512 Summer 2008
Homework #1 - SOLUTION
1. A regression analysis relating test scores (Y) to training hours (X) produced the following
fitted equation: Y = 13.2 + 1.3 X .
(a) What is the fitted va
Statistics 512: Homework#1 Solution
1. A regression analysis relating test scores (Y ) to training hours (X) produced the following
tted question: y = 25 0.5x.
(a) What is the tted value of the respon
Spring 2012
STAT 512
HW 2 Key
Homework 2 (14 pts.)
due Jan. 27
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up only
those results that are necessary to
Statistics 512: Problem Set No. 1
Solutions
1. A regression analysis relating test scores (Y ) to training hours (X) produced the following
tted question: y = 25 0.5x.
(a) What is the tted value of th
Statistics 512: Problem Set No. 9
Due November 13, 2009
1. Conduct a one-way ANOVA on the data summarized in the following table:
Treatment (i)
1
2
3
4
ni
7
5
8
4
Yi
14.6
23.1
15.2
10.3
si
10.4
10.6
9
Statistics 512: Homework 2
Due Tuesday, September 20, 2016 (11:59 pm)
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up
only those results that are necess
Statistics 512: Applied Linear Models
Topic 9
Topic Overview
This topic will cover
Random vs. Fixed Eects
Using E (M S ) to obtain appropriate tests in a Random or Mixed Eects Model.
Chapter 25: One
Statistics 512: Problem Set No. 4
Due September 25, 2009
1. Consider the following SAS output giving 5 condence intervals for the mean of Y . If you
wanted to guarantee that joint coverage of the ve c
Statistics 512: Solution to Homework#8
Use the dataset from Problem 16.11 described on page 725 of KNNL (ch16pr11a.dat).
This analysis will be continued on the next homework set, so be sure to save yo
Statistics 512: Homework 2
Due Monday, September 21, 2015 (11:59 pm)
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up
only those results that are necessa
STAT 512 Summer 2008
Homework #2 Solution Corrected
1. Matrix Algebra. Base your answers below on the following data set.
i
Xi Yi Xi2 Yi2 XiYi
1
2 15
4 225
30
2
4 11 16 121
44
3
6 12 36 144
72
4
8 13
Statistics 512: Homework#6
Due October 11, 2013 (Friday)
For the following 3 problems use the computer science data that we have been discussing in class. You can get a copy of the data set csdata.dat
Statistics 512: Homework#7
Due March 14, 2014 BEFORE CLASS
1. Increased arterial blood pressure in the lungs frequently leads to the development of heart
failure in patients with chronic obstructive p
Statistics 512: Solution to Homework#6 For the following 3 problems use the computer science data that we have been discussing in class. You can get a copy of the data set csdata.dat from the class we
Statistics 512: Homework#7
Due October 16, 2013
1. Increased arterial blood pressure in the lungs frequently leads to the development of heart
failure in patients with chronic obstructive pulmonary di
1. Short Answer
a. List the three major assumptions of a simple linear regression model. For each assumption, give one
way that you might check whether that assumption is satisfied and identify one re
Statistics 512: Review for Topics 4, 5, and 6
You are not required to write any SAS code for this exam, however, you will be answering questions
based on the SAS output (with certain key values possib
Statistics 512: Homework 3
Solutions
1. Consider the following data set that describes the relationship between the rate of an enzymatic reaction (V ) and the substrate concentration (C). A common mod
Statistics 512: Homework 2
Solutions
1. KNNL Problem 2.17
Solution: Since the analyst concluded Ha : 1 6= 0, the pvalue= 0.033 < and
the analyst rejected H0 . The significance level was greater than 0
Version: August 21, 2017.
Check web page for any updates.
Stat 512: Applied Regression Analysis Fall 2017
Instructor: Dr. Walid Sharabati
Office Hours: T 10:50-11:50 am and R 2:50-3:50 pm. (in HAAS-11
Statistics 512: Homework 2
Divisions 4 and 5: Due 11:59pm, Monday, Feb 6, 2017
A reminder Please do not hand in any unlabeled or unedited SAS output. Include in your write-up
only those results that a