Pa 298 measures of correlation
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This document discusses various measures of simple correlation. It begins by explaining how to create a scatter plot using Excel to graph the relationship between independent and dependent variables. It then provides an example dataset measuring temperature and water consumption over seven summer days. It proceeds to define the Pearson Product Moment Correlation Coefficient formula to measure the strength of linear relationships. It also mentions the Spearman Rank-Order Correlation Coefficient and notes there are other measures of relationship. Finally, it cautions that correlation only indicates a relationship exists and does not prove causation.
![r= {(6*47634)-(345*819)}/{[(6*20399)-3452][(6*112443)-8192]}0.5.r= 0.897.The correlation coefficient suggests a strong positive relationship between age and blood pressure.](https://image.slidesharecdn.com/pa298measuresofcorrelation-110315083051-phpapp01/85/Pa-298-measures-of-correlation-15-320.jpg)
Pa 298 measures of correlation
- 1. MEASURES OF SIMPLE CORRELATIONPrepared by:Dr. Maria Theresa P. Pelones, DMGraduate School Faculty
- 6. A scatter plot is a graph of the ordered pairs (x,y) of numbers consisting of the independent variables, x, and the dependent variables, y.
- 7. Please use excel to create a scatter plot.
- 10. Temperature (F)Water Consumption (ounces)7516832085 258527923297489948 For seven random summer days, a person recorded the temperature and their water consumption, during a three-hour period spent outside.
- 11. Temperature (F)Water Consumption (ounces)7516832085 258527923297489948 For seven random summer days, a person recorded the temperature and their water consumption, during a three-hour period spent outside.
- 12. PEARSON PRODUCT MOMENT CORRELATION COEFFICIENT(R) Prepared by:Dr. Maria Theresa P. Pelones, DMGraduate School Faculty
- 15. r= {(6*47634)-(345*819)}/{[(6*20399)-3452][(6*112443)-8192]}0.5.r= 0.897.The correlation coefficient suggests a strong positive relationship between age and blood pressure.
- 16. SPEARMAN RANK-ORDER CORREALATION COEFFICIENTPrepared by:Dr. Maria Theresa P. Pelones, DMGraduate School Faculty
- 19. OTHER MEASURES OF RELATIONSHIPPrepared by:Dr. Maria Theresa P. Pelones, DMGraduate School Faculty
- 26. CORRELATIONAL STUDIESPrepared by:Dr. Maria Theresa P. Pelones, DMGraduate School Faculty
- 27. A correlation tells you that a relationship exists between 2 variables (aside from the 3rd variable problem), but tell you absolutely nothing about cause and effect.
- 28. When variable A actually causes the change in B.
- 29. Variables A and B really do NOT have anything to do with each other but happen to go up or down simultaneously.
- 30. Variable A is correlated with variable B but there is a third factor C (the common underlying cause) that causes the changes in both A and B.
- 31. PROBLEM SETSPrepared by:Dr. Maria Theresa P. Pelones, DMGraduate School Faculty