Here's an example.
In model 1, Test1 tests 'slope=3', the square root of the F-test statistic is the t-test statistics you want; Test2 tests 'Intercept=0 and Slope=3' and it's a Wald test.

Alternatively, subtract 3*LotSize from the response variable then run Model 2, you'll see the t-test in the 'Parameter Estimates' section of output.
Also you can compute the Wald test statistic manually as
(322793 - 54825)/2 / (54825/23),
where 322793=error sum of squares of model 3 (null model), 54825=error sum of squares from model 2 (full model), 2 = # of parameters in test, 23 = degrees of freedom in full model.