STATISTICS 110, FALL 2015
Homework #3 Solutions
Assigned Wed, October 14, Due Wed, October 21
1. Do Problem 2.8 (page 81).
2.8 (This is a multiple choice question, but since that was not clear Ill add
Shengruo zhang
1.6
Plug in x1= 10 in the fitted egression equation: y = 25+7x.
We get y = 95
Residual for the first data point = 100 95 = 5
1.8
a. As the number of gram of sugar increases, the numbers
Lecture 2 Announcements:
First assignment is assigned today and due next Wed.
Assignment is linked to the daily schedule on the course
webpage.
You can turn in homework Wed in class, or in slot on w
Start with some definitions and pictures on the white board.
Assumptions in the Normal Linear Regression Model
A1: There is a linear relationship between X and Y.
A2: The error terms (and thus the Ys
Announcements
General Steps of Hypothesis
(Significance) Testing
Dont forget to put your Homework Code on
your homework. Find codes here:
http:/www.ics.uci.edu/~jutts/110/HomeworkIDCodes.pdf
No offi
9/27/2015
STATISTICS 110
Outline for today:
Go over syllabus and dates for the quarter
Overview of basic terminology
Cover most of Chapter 0
Overview of coverage in Stat 110 and 111
Examples (more on
STATISTICS 110, FALL 2015
Homework #1 Solutions
Assigned Wed, Sept 29, Due Wed, October 7
1. Do Exercise 0.6 on page 15 of the textbook. (Shown below for those who havent been able to
purchase a book
STATISTICS 110, FALL 2015
Homework #2
Assigned Wed, October 7
Due Wed, October 14
1. Go through the 5 steps of hypothesis testing given in class for Example 0.6 in the book. (Hint: See
the output on p
STATISTICS 110, FALL 2015
Homework #5 Solutions
Assigned Mon, Nov 2, Due Mon, Nov 9
Questions 1 to 10: Use the PhysicalData.txt file (linked to the website) for these questions. The data
consist of ph
Lecture on Sections 2.2 and 2.3
Note: Most of the lecture will be on the white board, not in these notes.
CHOOSE:
It looks like a linear model is
appropriate.
220
180
140
Goals:
Predict weight from h
9/27/2015
STATISTICS 110
Outline for today:
Go over syllabus and dates for the quarter
Overview of basic terminology
Cover most of Chapter 0
Overview of coverage in Stat 110 and 111
Examples (more
Announcements
Dont forget to put your Homework Code on
your homework. Find codes here:
http:/www.ics.uci.edu/~jutts/110/HomeworkIDCodes.pdf
No office hours today; tomorrow 2:30 to 3:30
instead
Toda
Zhang 1
Shengruo Zhang
0.4
a. Observation unit: serve
Response variable: wining a point or not (categorical)
Explanatory variables: Jumping serve or standard overhead serve (categorical)
b. Observatio
Shengruo Zhang
109
5.14
a. The probability of 0.003 is the probability of getting a sample result that the four groups have the same
mean.
b. The data has strong evidence to let us reject null hypothe
STATISTICS 110, FALL 2015
Homework #2
Assigned Wed, October 7
Due Wed, October 14
1. Go through the 5 steps of hypothesis testing given in class for Example 0.6 in the book. (Hint: See the
output on p
STATISTICS 110, FALL 2015
Homework #2
Assigned Wed, October 7
Due Wed, October 14
1. Go through the 5 steps of hypothesis testing given in class for Example 0.6 in the book. (Hint: See
the output on p
Statistics 110 Midterm Review, Fall 2015
The midterm exam will cover Chapters 0, 1, 2, and some of 3, including all material covered up to Fri,
Oct 23. You are expected to know how to read and interpr
STATISTICS 110, FALL 2015
Homework #5
Assigned Mon, Nov 2
Due Mon, Nov 9
Questions 1 to 10: Use the PhysicalData.txt file (linked to the website) for these questions. The
data consist of physical meas
Announcements
Dont forget to put your Homework Code on
your homework. Codes linked to course website.
A few of you might receive an email from me
changing your code.
Today:
Additional explanation o
Start with review, some new definitions, and pictures on the white board.
Assumptions in the Normal Linear Regression Model
A1: There is a linear relationship between X and Y.
A2: The error terms (and
STATISTICS 110/201, FALL 2017
Homework #2 Solutions
Assigned Wed, October 11, Due Wed, October 18
PLOTS ARE ALL SHOWN AT THE END. Answers are in italics.
1. In last weeks homework you used regression
Course Introduction
Marketing
Research
Sales Management;
MGMT 151 UG190
ProfessorKevin
Kevin D.
Professor
D.Bradford
Bradford
Positioning Marketing
Research
Evolution of Marketing
Marketing Orientat
MARKETING RESEARCH
I N T R O D U C T I O N A N D C O U R S E O V E RV I E W
Developing an
approach to the
problem
Development of a broad
specification of how the
problem will be addressed
allows the r
Marketing Research for Managers
Fundamentals of measurement and comparative scaling notes
1. What is measurement?
2. What are basic characteristics of a scale?
3. What are the primary scales of measur
Assumptions for OLS
1.) Linear: relationship between variables is linear
2.) Predictive: the regression equation result(Yhat) predicts Y better than the
average(Ybar)
3.) Lack of unusual cases: if the