## Multiple Linear Regression

Enter your values for the independent variables x_{i} 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 2 independent variables, then use only x_{1}, x_{2}, 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 11 significant digits. Further, all numbers of magnitude less that 10^{-12} are presented as zero.

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Last Updated:* February, 1998*
Copyright © 1997 Stefan Waner and Steven R. Costenoble