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# How to interpret the a pearson correlation between 2 variable

wrote...
Posts: 27
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7 months ago
 How to interpret the a pearson correlation between 2 variable Dear all,I would like to ask you about how to interpret a pearson correlation relationship between 2 parameters.Here is the graph,Could I interpret this as,A and B have strong negative relationship. When A increase, b will decrease.then how about the spreading of points? some points are close to the line and some of that are not?Please help me!Thank you. Read 315 times 6 Replies
Replies
wrote...
Educator
7 months ago
 Hi tsing_lee, You're right, the spread is quite substantial. It looks like there is a negative correlation between the parameters, but the R value isn't strong as you suggested. According to the chart, R is -0.57, which means it is negative moderate, not strong.According to this video, you can find the significance of the R value if you're given the raw data. But I'm assuming this graph was obtained from an article, to which they don't provide the raw data. Watch the video above to understand a little more what I mean.
wrote...
7 months ago
 Hi, thank you for the suggestion.Sometime, I doubt of interpreting the value. From the video, it was said that my result is moderate but from this source https://www.statisticssolutions.com/free-resources/directory-of-statistical-analyses/pearsons-correlation-coefficient/my result is high degree. btw, this is not obtained from article but from my assignment
wrote...
Educator
7 months ago
 The chart presented in the video is the one I've been using for a long time, so I trust that source. Your source doesn't suggest anything about the ranges. Are you sure you posted the correct link?How did you find the R value? Was it given to you in the assignment? What is the assignment asking exactly?
jeffreysotojeffreysoto
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Posts: 21
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7 months ago

### Related Topics

wrote...
7 months ago
 Hi,well when we talk about Pearson's correlation, The Pearson's correlation coefficient is calculated as the covariance of the two variables divided by the product of the standard deviation of each data sample. It is the normalization of the covariance between the two variables to give an interpretable score.
wrote...
5 months ago
 The problem started here is a bit complicated as though it appears very simple, the graph presented here represents the Pearson correlation that shows the relationship between two parameters. The problem is simple in interpreting the graph as two points A and B as a destructive yet strong relationship between them, where one increases and the other decrease also, about the points that are displayed with the graph; some are very close to the line. Some are very far from it; how does this relate with the graph and what is the spread of this point, and on what basis?The discussion on this problem suggests that the spread of the points is quite substantial; it also indicates that there is no negative correlation among these points and in these parameters. The value of R suggested isn't much strong; the data from the chart tells the value of R to be -0.57, which means it's not a strong relation, yet it is negative moderate.