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 Basic Multiple Regression This page will perform basic multiple regression analysis for the case where there are several independent predictor variables, X1, X2, etc., and one dependent or criterion variable, Y. Requires import of data from a spreadsheet. http://faculty.vassar.edu/lowry/multU.html
 Point Biserial Correlation Coefficient This page calculates the point biserial correlation coefficient for the case where one variable is dichotomous and the other is non-dichotomous. This page allows the user to input the data directly or copy and paste from a spreadsheet application and provides data summary. http://faculty.vassar.edu/lowry/pbcorr.html
 Chi-Square, Cramer's V, and Lambda for an RxC Contingency Table This calculator performs the following for a contingency table up to 5x5: chi-square analysis; Cramer's V; two asymmetrical versions of lambda; the Goodman-Kruskal index of predictive association; other measures relevant to categorical prediction. Key Word: Categorical Analysis. http://faculty.vassar.edu/lowry/newcs.html
 Partial Correlation (For Three Intercorrelated Variables ) Given three overlapping correlation coefficients: rXY, rXZ, and rYZ, this page will calculate the first-order partial correlations: rXY.Z, rXZ.Y, and rYZ.X. If you enter the value of N (providing N>6), the program will also calculate the values of t for the partial correlations (df=Nâ3) along with the associated two-tailed probability values. http://faculty.vassar.edu/lowry/par.html
 Fitting an Observed Frequency Distribution to the Closest Poisson Distribution This page calculates the Poisson distribution that most closely fits an observed frequency distribution, as determined by the method of least squares. Users enter observed frequencies, and the page returns the fitted Poisson frequencies, the mean and variance of the observed distribution and the fitted Poisson distribution, and R-squared. http://faculty.vassar.edu/lowry/poissonfit.html
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