About 490,000 results
Open links in new tab
  1. Why do random effect models require the effects to be …

    However, if this assumption does not hold (i.e., if the Durbin–Watson test fails), the random effects model is not consistent. I was wondering why random effect models require the random …

  2. What is the expected correlation between residual and the …

    In multiple linear regression, I can understand the correlations between residual and predictors are zero, but what is the expected correlation between residual and the criterion variable? …

  3. Uncorrelated/orthogonal random vectors - Cross Validated

    One justification for this interpretation is that "uncorrelated" ought to refer to a correlation matrix. As always, a correlation matrix is obtained from a covariance matrix.

  4. Simple examples of uncorrelated but not independent $X$ and $Y$

    Mar 5, 2016 · A two-sentence answer: the clearest case of uncorrelated statistical dependence is a non-linear function of a RV, say Y = X^n. The two RVs are clearly dependent but yet not …

  5. What does it mean for two variables to be uncorrelated? How is it ...

    What does it mean for two variables to be uncorrelated? How is it possible for two variables to be strongly related but still uncorrelated [duplicate] Ask Question Asked 12 years, 9 months ago …

  6. What is uncorrelated noise and its significance - Cross Validated

    What is the difference between correlated and uncorrelated noise and its significance Why do we consider such a property of correlated or uncorrelated in estimation and when we say that …

  7. Are linear regression errors independent? Mean independent?

    Are linear regression errors independent? Mean independent? Uncorrelated? Ask Question Asked 9 years, 7 months ago Modified 7 years, 11 months ago

  8. In practice, how to clearly prove that variables are uncorrelated?

    In practice, how to clearly prove that variables are uncorrelated? Ask Question Asked 9 years, 7 months ago Modified 9 years, 7 months ago

  9. variance of the mean of correlated and uncorrelated data

    From the difference in spreads of the histograms, it is clear the set of means from the uncorrelated samples is less scattered than the set of means from the correlated samples, …

  10. regression - Interpreting orthogonality - Cross Validated

    This might be of some value. Orthogonal variables are perpendicular. 'Uncorrelated' means that the corresponding centered variables are perpendicular. Under certain conditions (such as if …