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Why does using unreliable measures reduce the correlation coefficient?

a) Unreliable measures introduce random error, reducing the accuracy of the correlation
b) Unreliable measures increase the accuracy of the correlation
c) Unreliable measures have no impact on the correlation coefficient
d) Unreliable measures improve the validity of the correlation

User Umbro
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1 Answer

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Final answer:

Using unreliable measures reduces the correlation coefficient by introducing random error and decreasing accuracy.

Step-by-step explanation:

Using unreliable measures reduces the correlation coefficient because it introduces random error, decreasing the accuracy of the correlation. When the measures are unreliable, the data points may be inconsistent and not reflect the true relationship between the variables. This leads to a weaker correlation and a lower correlation coefficient.

User David Liao
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