Regression Significance

Regression significance is defined as the probability that the regression coefficients are all zero. In other words, the regression model has no useful terms.

A low value of Significance, .02 for example, means that it is likely that at least one term in the model is related to the response. A high value of significance, .3 for example, means that there is a high probability that none of the terms in the model is related to the response. A low regression significance only means that at least one term is likely significant, not necessarily all terms. Look at the Term Significance values to check individual terms.

The regression significance is computed from the regression F-Ratio.