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EPISODE · Oct 30, 2015 · 14 MIN
[MINI] Covariance and Correlation
from Data Skeptic
The degree to which two variables change together can be calculated in the form of their covariance. This value can be normalized to the correlation coefficient, which has the advantage of transforming it to a unitless measure strictly bounded between -1 and 1. This episode discusses how we arrive at these values and why they are important.
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[MINI] Covariance and Correlation
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How long is this episode of Data Skeptic?
This episode is 14 minutes long.
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This episode was published on October 30, 2015.
What is this episode about?
The degree to which two variables change together can be calculated in the form of their covariance. This value can be normalized to the correlation coefficient, which has the advantage of transforming it to a unitless measure strictly bounded...
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