## Multiple Linear Regression

Enter your values for the independent variables xi and the dependent variable y below (leave the last column blank -- this will show the values predicted by the regression model). Arithmetic expressions such as 2/3 or 3+(4*pi) are fine.

You need not use all the columns; for example, if you have two independent variables, then use only x1, x2, and y.

When done, press the " y = a + b(x1) + c(x2) + d(x3) + e(x4) " button.

Note The number of data points should be at least one more than the number of independent variables you use. For instance, if you are using two independent variables (x1 and x2), you should enter at lesat 3 data points.

Accuracy The algorithm is written to round all output to five significant digits. Further, all numbers of magnitude less that 10-12 are presented as zero.

### Multiple Regression Calculator

Regression formula will appear here:

 x1Value x2Value x3Value x4Value yValue PredictedValue

Javascript source code Copyright © 1997 Stefan Waner and Steven R. Costenoble, and used by permission of the authors.