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 Regression Calculators
Below you will find 14 free statistics calculators for computing values associated with regression studies:
 1 A-priori Sample Size Calculator for Multiple Regression This calculator will tell you the minimum required sample size for a multiple regression study, given the desired probability level, the number of predictors in the model, the anticipated effect size, and the desired statistical power level.
 2 Adjusted R-square Calculator (Population R-square) This calculator will compute an adjusted R2 value (i.e., the population squared multiple correlation), given an observed (sample) R2, the number of predictors in the model, and the total sample size.
 3 Beta (Type II Error Rate) Calculator for Multiple Regression This calculator will tell you the beta level for your study (i.e., the Type II error rate), given the observed probability level, the number of predictors, the observed R2, and the sample size.
 4 Confidence Interval Calculator for a Predicted Value of a Regression Equation This calculator will compute the 99%, 95%, and 90% confidence intervals for a predicted value of a regression equation, given a predicted value of the dependent variable, the standard error of the estimate, the number of predictors in the model, and the total sample size.
 5 Critical F-value Calculator This calculator will tell you the critical value of the F-distribution, given the probability level, the numerator degrees of freedom, and the denominator degrees of freedom.
 6 Effect Size Calculator for Multiple Regression This calculator will tell you the effect size for a multiple regression study (i.e., Cohen's f2), given a value of R2.
 7 f-square Effect Size Confidence Interval Calculator This calculator will compute the 99%, 95%, and 90% confidence intervals for the f2 effect size associated with a multiple regression study, given the f2 value, the number of predictors in the model, and the total sample size.
 8 F-Value and p-Value Calculator for Multiple Regression This calculator will tell you the Fisher F-value for a multiple regression study and its associated probability level (p-value), given the model R2, the number of predictors in the model, and the total sample size.
 9 Post-hoc Statistical Power Calculator for Multiple Regression This calculator will tell you the observed power for your multiple regression study, given the observed probability level, the number of predictors, the observed R2, and the sample size.
 10 R-square Calculator (from an f-square Effect Size) This calculator will compute an R2 value for a multiple regression model, given Cohen's f2 effect size for the model.
 11 R-square Confidence Interval Calculator This calculator will compute the 99%, 95%, and 90% confidence intervals for an R2 value (i.e., a squared multiple correlation), given the value of the R-square, the number of predictors in the model, and the total sample size.
 12 Regression Coefficient Confidence Interval Calculator This calculator will compute the 99%, 95%, and 90% confidence intervals for a regression coefficient, given the value of the regression coefficient, the standard error of the regression coefficient, the number of predictors in the model, and the total sample size.
 13 Regression Intercept Confidence Interval Calculator This calculator will compute the 99%, 95%, and 90% confidence intervals for a regression intercept (i.e., the regression constant), given the value of the regression intercept, the standard error of the regression intercept, the number of predictors in the model, and the total sample size.
 14 Significance of the Difference between Two Slopes Calculator This calculator will determine whether the slopes of two lines are significantly different from each other, given the slope, standard error, and sample size for each line. Values returned from the calculator include the probability value, the t-value for the significance test, and the degrees of freedom. A probability value of less than 0.05 indicates that the two slopes are significantly different from each other.
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