Class Notes (922,715)
CA (542,948)
Ryerson (30,914)
QMS (276)
QMS 202 (65)
Lecture

Chapter 13

27 Pages
293 Views

Department
Quantitative Methods
Course Code
QMS 202
Professor
Jason Chin- Tiong Chan

This preview shows pages 1-3. Sign up to view the full 27 pages of the document.
QMS202-Business Statistics II Chapter13
Chapter13 Simple Linear Regression
Outcomes:
1. Construct a scatter diagram
2. Understand and interpret the terms dependent variable and
independent variable
3. Calculate a least squares regression line
4. Determine and interpret the coefficient of correlation, the coefficient
of determination, and the standard error of estimate
5. Conduct a test of hypothesis for a population slope, using t Test
6. Interpret an ANOVA table
Simple Regression Analysis
1. Simple Regression Analysis is the process of constructing a
mathematical model that can be used to predict one variable
(dependent variable) by another variable (independent variable)
2. Dependent variable: the variable we wish to predict and denoted
by
y
3. Independent variable: the variable used to make the prediction
and denoted by
x
4. Regression analysis with two or more independent variables is
called multiple regression analysis.
Example1
For each question, identify the dependent and independent variables
a. Does the number of litres of gasoline sold depend on the volume of
traffic?
b. Does the number of meals sold in a cafeteria depend on the
number of employees?
c. Does sales revenue depend on advertising expenditure?
Winter2011 Page#1
www.notesolution.com
QMS202-Business Statistics II Chapter13
Scatter Diagram
1. A chart that portrays the relationship between two variables.
Scatter Diagram A
Winter2011 Page#2
www.notesolution.com
QMS202-Business Statistics II Chapter13
Scatter Diagram B
Scatter Diagram C
Winter2011 Page#3
www.notesolution.com

Loved by over 2.2 million students

Over 90% improved by at least one letter grade.

Leah — University of Toronto

OneClass has been such a huge help in my studies at UofT especially since I am a transfer student. OneClass is the study buddy I never had before and definitely gives me the extra push to get from a B to an A!

Leah — University of Toronto
Saarim — University of Michigan

Balancing social life With academics can be difficult, that is why I'm so glad that OneClass is out there where I can find the top notes for all of my classes. Now I can be the all-star student I want to be.

Saarim — University of Michigan
Jenna — University of Wisconsin

As a college student living on a college budget, I love how easy it is to earn gift cards just by submitting my notes.

Jenna — University of Wisconsin
Anne — University of California

OneClass has allowed me to catch up with my most difficult course! #lifesaver

Anne — University of California
Description
QMS202-Business Statistics II Chapter13 Chapter13 Simple Linear Regression Outcomes: 1. Construct a scatter diagram 2. Understand and interpret the terms dependent variable and independent variable 3. Calculate a least squares regression line 4. Determine and interpret the coefficient of correlation, the coefficient of determination, and the standard error of estimate 5. Conduct a test of hypothesis for a population slope, using t Test 6. Interpret an ANOVA table Simple Regression Analysis 1. Simple Regression Analysis is the process of constructing a mathematical model that can be used to predict one variable (dependent variable) by another variable (independent variable) 2. Dependent variable: the variable we wish to predict and denoted by y 3. Independent variable: the variable used to make the prediction and denoted by x 4. Regression analysis with two or more independent variables is called multiple regression analysis. Example1 For each question, identify the dependent and independent variables a. Does the number of litres of gasoline sold depend on the volume of traffic? b. Does the number of meals sold in a cafeteria depend on the number of employees? c. Does sales revenue depend on advertising expenditure? Winter2011 Page1 www.notesolution.com QMS202-Business Statistics II Chapter13 Scatter Diagram 1. A chart that portrays the relationship between two variables. Scatter Diagram A Winter2011 Page2 www.notesolution.com QMS202-Business Statistics II Chapter13 Scatter Diagram B Scatter Diagram C Winter2011 Page#3 www.notesolution.com QMS202-Business Statistics II Chapter13 Example2 The duration of the last 18 business trips made by an employee and the corresponding expenses claimed are shown in the following table. No. of days 3 5 2 1 3 6 8 7 9 Expenses 140 200 110 100 135 230 290 260 310 ($) No. of days 8 7 3 2 5 11 4 10 12 Expenses 285 255 140 100 210 380 190 350 400 ($) Winter2011 Page4 www.notesolution.com
More Less
Unlock Document


Only pages 1-3 are available for preview. Some parts have been intentionally blurred.

Unlock Document
You're Reading a Preview

Unlock to view full version

Unlock Document

Log In


OR

Don't have an account?

Join OneClass

Access over 10 million pages of study
documents for 1.3 million courses.

Sign up

Join to view


OR

By registering, I agree to the Terms and Privacy Policies
Already have an account?
Just a few more details

So we can recommend you notes for your school.

Reset Password

Please enter below the email address you registered with and we will send you a link to reset your password.

Add your courses

Get notes from the top students in your class.


Submit