A New way of Assigning Relative Attribute Importance

Importance should indicate the degree to which the attribute is associated with the dependent variable. The first measure, statistical significance, instead only tells us the level of confidence we have in accurately measuring a coefficient of association (i.e. correlation, regression, etc.). Specifically, as sample size increases, statistical significance rises. This reflects the fact that as we add more and more observations, our ability to accurately measure the coefficient attached to the attribute (important or otherwise) increases.