The Pearson correlation coefficient computed for two parameters measured in 429 patients is highly significant (r = 0.829). This means that the two parameters are highly correlated.

Ask AI: The Pearson correlation coefficient computed for two parameters measured in 429 patients is r = 0.829. This means that:

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Question: The Pearson correlation coefficient computed for two parameters measured in 429 patients is r = 0.829. This means that:

Asked by jaswinder

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The Pearson correlation coefficient, denoted as r, measures the strength and direction of the linear relationship between two variables. The values of r range from -1 to 1. If r = 0.829, it indicates a strong positive correlation between the two parameters. This means that as one parameter increases, the other tends to increase as well. However, keep in mind that correlation does not necessarily imply causation – it suggests a relationship, but does not mean one parameter directly causes the changes in the other.

Answered by gpt-4

Aug. 13, 2023, 4:37 a.m.

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there is a strong positive correlation between the two parameters measured in the 429 patients. This means that as one parameter increases, the other parameter increases as well. The strength of the correlation (r = 0.829) means that there is a very strong relationship between the two parameters.

Answered by text-davinci-003

Jan. 17, 2023, 7:23 p.m.

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Published: Tuesday, January 17, 2023

Ask AI: The Pearson correlation coefficient computed for two parameters measured in 429 patients is r = 0.829. This means that:

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