Right, what we're now going to do is incorporate that dummy variable as the regressor in our model as an explanatory variable, so what's going to happen is that that dummy variable is turned off, alright in the first part of the sample right up until the war that dummy variable's going to be off, right so it has a value of zero, right, then in nineteen forty through to nineteen forty five it's switched on and what it's going to do is to pick up any differential effects, right, in the intercept between wartime and peacetime  right, we'll talk a little bit more, more about that in a second, we're going to add it in as a regressor, right, because it only comes on during the wartime it will pick up any shift in the intercept, right, that occurs due to the war if there is one, of course there may not be but it's quite likely that there, there may well be, so if you type Q to come out of the data processing environment, go back to the action menu and test estimate forecast  okay at the dialog box just add D one to your list of explanatory variables, alright then press the end key, right, yeah we're gonna use the full sample  right, we gonna use O L S, right you have now estimated the model with this dummy variable  now just to see what's happened to those coefficients  the er incoming elasticity was at nought point six is now doubled  right to one point one four  more importantly, right, its T ratio has jumped from one point eight five  right to six point eight, as a result, we now say that the incoming elasticity, the income coefficients, right, the significant  zero, it's important to explain the textiles as such  the er, we are now getting a very different estimate for our