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Pearson's r: Relationship Insight

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Pearson's r: Relationship Insight

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Quick true/false on Pearson's r.

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sherin joyson
sherin joyson
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Pearson's r: Relationship Insight
 

Pearson's r: Relationship InsightOnline version

Quick true/false on Pearson's r.

by sherin joyson
1

Outliers can heavily influence the value of r.

2

A high magnitude r indicates a strong linear association but does not imply causation.

3

Pearson's r can measure nonlinear relationships accurately.

4

Pearson's r measures the strength and direction of a linear relationship.

5

Pearson's r is suitable for nominal data.

6

A correlation of 0.9 proves causation.

7

Outliers have no effect on Pearson's r.

8

The Pearson correlation coefficient ranges from -1 to 1.

9

The correlation coefficient can be greater than 1.

10

It assumes the data are roughly bivariate normally distributed.

 
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