t Ratio
Tests whether the true value of the parameter is zero. The t Ratio is the ratio of the estimate to its standard error. Given the usual assumptions about the model, the t Ratio has a Student’s t distribution under the null hypothesis.
Lists the p-value for the test that the true parameter value is zero, against the two-sided alternative that it is not.
The VIF for the ith term, xi, is defined as follows:
where Ri 2 is the RSquare, or coefficient of multiple determination, for the regression of xi as a function of the other explanatory variables.
Shows the square roots of the relative variances of the parameter estimates (Goos and Jones, 2011, p. 25):

Help created on 9/19/2017