Multiple Regression with Two Independent Variables and One Dependent Variable
Please wait until the page is fully loaded.


  This page will perform a basic multiple regression analysis for the case where there are two independent or predictor variables, X1 and X2, and one dependent or criterion variable, Y. To proceed, double click in the cell labeled "X1X2" and type in the value of r for the correlation between X1 and X2. Then double click in the cells labeled "X1Y" and "X2Y," and type in the values of r for the correlations between X1 and Y and X2 and Y. The mirror-image values of r in the cells below the diagonal line of "1.0" entries will be entered automatically. A negative value of r should be preceded by a minus sign: e.g., -.76 . Do not enter a plus sign; all entered values are assumed to be positive unless preceded by "-".
  After all values of r have been entered, click the "Calculate" button. To perform a new analysis with a different set on intercorrelations, click the "Reset" button.
X1
X2
Y

X1

X2

Y

  

X1
X2
B = Standardized
Regression Weight
B x rxy
R2 =
R2 = total proportion of Y variance accounted
for by the combination of X1 and X2.

Close this page to return to the VassarStats main menu.
Home Click this link only if you did not arrive here via the VassarStats main page.



©Richard Lowry 1998-1999
All rights reserved.