Sign In | Subscribe
Start learning today, and be successful in your academic & professional career. Start Today!
Loading video...
This is a quick preview of the lesson. For full access, please Log In or Sign up.
For more information, please see full course syllabus of Statistics
  • Discussion

  • Study Guides

  • Download Lecture Slides

  • Table of Contents

  • Related Books

Bookmark and Share
Lecture Comments (10)

0 answers

Post by Carina Sloane on March 17, 2013

The number 7 in the observation refers to the PAIRS of observations seen a couple of slides before referring to Income:Food

0 answers

Post by Vermalyn THOMAS on November 30, 2012

got it now these are the observation in the scatterplots

0 answers

Post by Vermalyn THOMAS on November 30, 2012

how did he get the 7 in the observation

0 answers

Post by Esther Walters on October 25, 2012

how does he get 2150 for summation xy in the first example? 212 x 64?

1 answer

Last reply by: Gayatri Arumugam
Fri Oct 5, 2012 11:27 AM

Post by Mariya Kossidi on September 5, 2012

the same question: how did he get 7 and 8 for the observations? Any answers?

1 answer

Last reply by: Alex Moon
Sat Nov 10, 2012 11:57 PM

Post by LAIZA BRITO on April 1, 2012

how does he get the number 8 for the observations?

0 answers

Post by Yuxian Liu on October 25, 2011

this video is really good, i got it!

0 answers

Post by Diana Luong on July 20, 2011

Where did he get the 7 in the Correlation and Linearity?

Exploring Bivariate Data: Scatterplots

  • Scatterplots are used to graphically illustrate the relationship between two variable.

  • Correlation is used to measure the linear relationship between two variables.

  • A correlation that equals −1 or 1 is a perfect linear association.

  • A correlation that equals 0 means there is no linear association.

Exploring Bivariate Data: Scatterplots

Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.

  • Intro 0:00
  • Bivariate Data 0:08
    • Example: Student Scores
  • Example: Scatterplot 1:08
  • Example: Scatterplot 2:36
  • Correlation and Linearity 3:49
  • Example: Correlation 5:30
  • Example: Correlation 6:55
  • Extra Example 1
  • Extra Example 2