6.4 - Summary

6.4 - Summary
In this lesson we learned about:
  • Conditional means, variances, and covariances
  • The definition of the partial correlation and how it may be estimated for data sampled from a multivariate normal distribution
  • Interpretation of the partial correlation
  • Methods for testing the null hypothesis that there is zero partial correlation
  • How to compute confidence intervals for the partial correlation

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