The point-biserial correlation is mathematically equivalent to the Pearson ( product moment ) correlation, that is, if we have one continuously measured variable " X " and a dichotomous variable " Y ", " r XY " = " r pb ".
22.
The earliest phases are recognised by the varying proportion of blades and specific varieties of scrapers, the middle phases marked by the emergence of a microlithic component ( particularly the distinctive denticulated microliths ), and the later phases by the presence of uniserial ( phase 5 ) and biserial'harpoons'( phase 6 ) made of bone, antler, and ivory.
23.
The version of the formula using " s n " & minus; 1 is useful if you are calculating point-biserial correlation coefficients in a programming language or other development environment where you have a function available for calculating " s n " & minus; 1, but don't have a function available for calculating " s n ".
24.
Using the Pearson point-biserial, the effect size in the cross validation sample for the unit-weights model was " r " = . 392, which was somewhat larger than for logistic regression ( " r " = . 368 ) and predictive attribute analysis ( " r " = . 387 ), and less than multiple regression only in the third decimal place ( " r " = . 397 ).
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