A researcher determines that the linear correlation coefficient is 0.85 for a paired data set. What does this indicate? OA. There is a strong negative linear correlation. B. There is no linear correlation but that there may be some other relationship. C. There is a strong positive linear correlation. D. There is insufficient evidence to make any decision about the correlation of the data.
A researcher determines that the linear correlation coefficient is 0.85 for a paired data set. What does this indicate? OA. There is a strong negative linear correlation. B. There is no linear correlation but that there may be some other relationship. C. There is a strong positive linear correlation. D. There is insufficient evidence to make any decision about the correlation of the data.
MATLAB: An Introduction with Applications
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ISBN:9781119256830
Author:Amos Gilat
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Chapter1: Starting With Matlab
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Problem 1P
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![A researcher determines that the linear correlation coefficient is 0.85 for a paired data set. What does this indicate?
- **A.** There is a strong negative linear correlation.
- **B.** There is no linear correlation but that there may be some other relationship.
- **C.** There is a strong positive linear correlation.
- **D.** There is insufficient evidence to make any decision about the correlation of the data.
In this context, the linear correlation coefficient, also known as Pearson's r, ranges from -1 to 1. A coefficient of 0.85 suggests a strong positive linear relationship between the variables in the dataset. Therefore, option C is the correct interpretation.](/v2/_next/image?url=https%3A%2F%2Fcontent.bartleby.com%2Fqna-images%2Fquestion%2Ff46c6c1c-9cf3-4090-96fd-ea5e3513a088%2F4b1b49b7-9628-4bd3-af8c-e1ffb1cc7672%2Fay036uh_processed.jpeg&w=3840&q=75)
Transcribed Image Text:A researcher determines that the linear correlation coefficient is 0.85 for a paired data set. What does this indicate?
- **A.** There is a strong negative linear correlation.
- **B.** There is no linear correlation but that there may be some other relationship.
- **C.** There is a strong positive linear correlation.
- **D.** There is insufficient evidence to make any decision about the correlation of the data.
In this context, the linear correlation coefficient, also known as Pearson's r, ranges from -1 to 1. A coefficient of 0.85 suggests a strong positive linear relationship between the variables in the dataset. Therefore, option C is the correct interpretation.
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