1 / 12

Chapter 9

Chapter 9. Correlation & Linear Regression. Correlation. The relationship between two things ( x, y ) x is the independent (explanatory) variable y is the dependent (response) variable. Correlation & Scatterplots. Positive Correlation Negative Correlation Nonlinear Correlation

claudial
Download Presentation

Chapter 9

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. Chapter 9 Correlation & Linear Regression

  2. Correlation • The relationship between two things • (x, y) • x is the independent (explanatory) variable • y is the dependent (response) variable

  3. Correlation & Scatterplots • Positive Correlation • Negative Correlation • Nonlinear Correlation • No Correlation

  4. y x Positive Correlation

  5. y x Negative Correlation

  6. y x Nonlinear Correlation

  7. y x No Correlation

  8. y 10 10 8 6 4 2 x -10 -10 -8 -6 -4 -2 2 4 6 8 10 10 -2 -4 -6 -8 -10 -10 What is Linear Regression? What’s the equation of this line that best fits this data?

  9. Perform a Linear Regression • Input Lists • x in L1 • y in L2 • 2nd #0 “Diagnostic On” • Stat •  “Calculate Menu” • #4 “LinReg(ax+b)” • Enter r = -0.99

  10. y 10 10 8 6 4 2 x -10 -10 -8 -6 -4 -2 2 4 6 8 10 10 -2 -4 -6 -8 -10 -10 Try Another One! • Perform a Linear Regression on the data. Find r. r = .95

  11. y 10 10 8 6 4 2 x -10 -10 -8 -6 -4 -2 2 4 6 8 10 10 -2 -4 -6 -8 -10 -10 Try Another One! • Perform a Linear Regression on the data. Find r. r = -0.98

  12. y 10 10 8 6 4 2 x -10 -10 -8 -6 -4 -2 2 4 6 8 10 10 -2 -4 -6 -8 -10 -10 Try Another One! • Perform a Linear Regression on the data. Find r. r = .94

More Related