Download presentation

Presentation is loading. Please wait.

Published byChristian Powers Modified over 4 years ago

2
Co-variation or co-relation between two variables These variables change together Usually scale (interval or ratio) variables

3
A statistic that quantifies a linear relation between two variables Can be either positive or negative Falls between -1.00 and 1.00 The value of the number (not the sign) indicates the strength of the relation

5
Y X Y X Y Y X X Linear relationshipsCurvilinear relationships Slide from: Statistics for Managers Using Microsoft® Excel 4th Edition, 2004 Prentice-Hall

6
Y X Y X Y Y X X Strong relationshipsWeak relationships Slide from: Statistics for Managers Using Microsoft® Excel 4th Edition, 2004 Prentice-Hall

7
Y X Y X No relationship Slide from: Statistics for Managers Using Microsoft® Excel 4th Edition, 2004 Prentice-Hall

8
8

9
Association between variables such that if one variable increases, then the other increases. A direct relation between the variables

10
Association between variables such that if one variable increases, then the other decreases An inverse relation between the variables

13
+.70 or higher Very strong positive relationship +.40 to +.69 Strong positive relationship +.30 to +.39 Moderate positive relationship +.20 to +.29 Weak positive relationship +.01 to +.19 No or negligible relationship -.01 to -.19 No or negligible relationship -.20 to -.29 Weak negative relationship -.30 to -.39 Moderate negative relationship -.40 to -.69 Strong negative relationship -.70 or higher Very strong negative relationship

14
Something to think about There is a 0.91 correlation between ice cream consumption and drowning deaths. Does eating ice cream cause drowning? Does grief cause us to eat more ice cream?

15
15 Correlation is NOT causation -e.g., armspan and height

17
Correlation is not causation. Invisible third variables Three Possible Causal Explanations for a Correlation

18
Correlation coefficient quantifies the linear relationship of two variables Also called r or r factor Shows how strongly they are connected Not proof of causality (causation)

Similar presentations

OK

Correlation. Correlation Is a statistical procedure that estimates the linear relationship between two or more variables.

Correlation. Correlation Is a statistical procedure that estimates the linear relationship between two or more variables.

© 2018 SlidePlayer.com Inc.

All rights reserved.

To make this website work, we log user data and share it with processors. To use this website, you must agree to our Privacy Policy, including cookie policy.

Ads by Google