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t Ratio
The tests of whether the true value of each 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.
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. This column appears only if you right-click in the report and select Columns > VIF.
The square roots of the relative variances of the parameter estimates (Goos and Jones 2011, p. 25):

Help created on 3/19/2020