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# Pa 298 measures of correlation

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### Pa 298 measures of correlation

1. 1. MEASURES OF SIMPLE CORRELATION<br />Prepared by:<br />Dr. Maria Theresa P. Pelones, DM<br />Graduate School Faculty <br />
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6. 6. <ul><li>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. 7. Please use excel to create a scatter plot.</li></li></ul><li>
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10. 10. Temperature (F)<br />Water Consumption (ounces)<br />75<br />16<br />83<br />20<br />85  <br />25<br />85<br />27<br />92<br />32<br />97<br />48<br />99<br />48<br /> For seven random summer days, a person recorded the temperature and their water consumption, during a three-hour period spent outside.  <br />
11. 11. Temperature (F)<br />Water Consumption (ounces)<br />75<br />16<br />83<br />20<br />85  <br />25<br />85<br />27<br />92<br />32<br />97<br />48<br />99<br />48<br /> For seven random summer days, a person recorded the temperature and their water consumption, during a three-hour period spent outside.  <br />
12. 12. PEARSON PRODUCT MOMENT CORRELATION COEFFICIENT(R) <br />Prepared by:<br />Dr. Maria Theresa P. Pelones, DM<br />Graduate School Faculty <br />
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15. 15. r= {(6*47634)-(345*819)}/{[(6*20399)-3452][(6*112443)-8192]}0.5.<br />r= 0.897.<br />The correlation coefficient suggests a strong positive relationship between age and blood pressure.<br />
16. 16. SPEARMAN RANK-ORDER CORREALATION COEFFICIENT<br />Prepared by:<br />Dr. Maria Theresa P. Pelones, DM<br />Graduate School Faculty <br />
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19. 19. OTHER MEASURES OF RELATIONSHIP<br />Prepared by:<br />Dr. Maria Theresa P. Pelones, DM<br />Graduate School Faculty <br />
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26. 26. CORRELATIONAL STUDIES<br />Prepared by:<br />Dr. Maria Theresa P. Pelones, DM<br />Graduate School Faculty <br />
27. 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.<br />
28. 28. When variable A actually causes the change in B.<br />
29. 29. Variables A and B really do NOT have anything to do with each other but happen to go up or down simultaneously.<br />
30. 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.<br />
31. 31. PROBLEM SETS<br />Prepared by:<br />Dr. Maria Theresa P. Pelones, DM<br />Graduate School Faculty <br />
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