Correlation

BA501 : The Class : Statistics : Correlation
Correlation Analysis

§ Assignments and Activities §

Correlation analysis results in a correlation coefficient, r, which measures the degree of linearity between the bivariate data, the ordered pairs x and y. The coefficient answers the question, "How well do the ordered pairs line up in a straight line?". If they all are in a straight line, the results either perfect positive linear relationship or a perfect negative linear relationship. If the ordered pairs are randomly and uniformly scattered, there is no linear relationship (shotgun effect). Correlation does not reflect a cause and effect relationship.

Objectives:

1. Study textbook and on-line material for a general understanding of correlation analysis.

2. Interpret the correlation coefficient using the conceptual formaula.

3. Calculate the correlation coefficient using the computing formula and Excel.

4. Use the 5-step method of hypothesis testing to test two-tailed and one-tail hypotheses concerning the population correlation coefficient.

Thought for Today

Use Virtual Conference Center to post questions to help each other solve problems and do assignments. Click on the Communications button above for instructions on your username and password. See the class calendar for announcements and assignments.

To complete this Topic successfully, please complete the following activities in the order shown below:

Text TEXTBOOK READING: Read Chapter 14 in Kvanli, et. al.

Optional and free on-line texts for statistics: HyperStat and StatSoft

ON-LINE LESSON 1: Correlation Analysis: Introduction

ON-LINE LESSON 2: Correlation Analysis: Examples

SPREADSHEET: Excel and Equations

ASSIGNMENT: Home Work

Look here before beginning quiz if using a telephone modem.

SELF TEST: Practice Quiz

To visit this Web site, click on Correlation Calculator below then fill in the blanks to calculate the correlation between two variables.

WEB ACTIVITY: Correlation Calculator

Use WebMail to send attachments and/or messages. Put BA501 (last name) Assignment name and number somewhere in the "subject" line of your e-mail. Address to BA501@mail.cba.nau.edu

WebMail

In addition to the material available at this web site, you may (optional) use WebTutor linked to WebCT. WebTutor is an interactive web site specfically covering the contents of the Kvanli (statistics) textbook assigned in this course. There is a fee for using this web site ($15). Have a credit card ready and click here to signup for this feature. When you have paid for WebTutor, you may click here to logon. You may download a free student guide to WebTutor by clicking here and then selelcting Student Support.

Once you have completed the activities in this topic you should:

Go on to Regression Analysis
or
Go back to Statistics

Please reference "BA501 (your last name) Assignment name and number" in the subject line of either below.

E-mail Dr. James V. Pinto at BA501@mail.cba.nau.edu
or call (928) 523-7356. Use WebMail for attachments.