  Determining the lack of association between an outcome variable and a number
of different explanatory variables is frequently necessary in order to
disregard a proposed model. This paper proposes a non-inferiority test for the
coefficient of determination (or squared multiple correlation coefficient),
R-squared, in a linear regression analysis with random predictors. The test is
derived from inverting a one-sided confidence interval based on a scaled
central F distribution.
