lm_error_var: Calculate error variance given model coefficients.
Description
lm_error_var will calculate the required error variance for a linear
model, given specified model coefficients, to create variance for your
dependent variable of approximately 'var'.
Usage
lm_error_var(var = 1, ...)
Value
Returns the required error variance so that the variance of your
dependent variable is approximately 'var'.
Arguments
var
The variance you wish your dependent variable to be.
...
Pass along all model coefficients, excluding the intercept. These
can be named or unnamed.
Details
Note: This function assumes that all predictors are
independent (i.e., uncorrelated).