Probability plot correlation coefficient plot: Difference between revisions

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#λ = 0.5: distribution is U-shaped
#λ = 1: distribution is exactly [[continuous uniform distribution|uniform]](−1, 1)
If the Tukey Lambda PPCC plot gives a maximum value near 0.14, one can reasonably conclude that the normal distribution is a good model for the data. If the maximum value is less than 0.14, a [[long-tailed distribution]] such as the [[Double exponential distribution|double exponential]] or logistic would be a better choice. If the maximum value is near −1, this implies the selection of very long-tailed distribution, such as the Cauchy. If the maximum value is greater than 0.14, this implies a [[short-tailed distribution]] such as the [[Beta distribution|Beta]] or uniform.
 
The Tukey-Lambda PPCC plot is used to suggest an appropriate distribution. One should follow-up with PPCC and probability plots of the appropriate alternatives.