Pearson Correlation Assignment
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Please look over what I have done and help me with the rest. My answers are in brackets.
2. What information is provided by the numerical value of the Pearson correlation?
(The sample correlation coefficient, usually denoted r, is a numerical measure of the strength and the direction of the sample linear relationship between two variables. The value of r is always a number from -1to1. If r is positive, then the sample data indicate a positive linear relationship between the two variables; if r is negative, then the sample data indicate a negative linear relationship between the two variables. The closer that r is to the extreme values -1and1, the stronger the linear relationship indicated by the sample data. When r=0, the sample data indicate no linear relationship between the two variables).
6b. For the following scores,
X Y
1 3
3 5
2 1
2 3
b. Compute the Pearson correlation.
14.I identifying individuals with a high risk of Alzheimer's disease usually involve a long series of cognitive tests. However, researchers have developed a 7 minute screen which is a quick and easy way to accomplish the same goal. The question is whether the 7 minute screen is as effective as the complete series of tests. To address this question, Ijuin et al. (2008). Administered both tests to a group of patient and compared the results. The following data and compared the results. The following data represent results similar to those obtained in the study.
Weight (X) Income (Y)
4 156
3 88
5 49
2 73
1 45
3 92
1 53
5 148
Chapter 16
10. For the following scores,
(X) (Y)
3 6
6 1
3 4
3 3
5 1
Reference
Richard Johnson (2006), probability and Statistics for Engineers, 7th edition, Prentice Hall.
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2. What information is provided by the numerical value of the Pearson correlation?
The sample correlation coefficient, usually denoted r, is a numerical measure of the strength and the direction of the sample linear relationship between two variables. The value of r is always a number from -1to1. If r is positive, then the sample data indicate a positive linear relationship between the two variables; if r is negative, then the sample data indicate a negative linear relationship between the two variables. The closer that r is to the extreme values -1and1, the stronger the linear relationship indicated by the sample data. When ...
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