Hello! I have a regression model of the form y=B1*x1 + B2*x2 + B3*x3 . There are equal number of observations for all the x variables. Now I want to predict a value of Y with the specific values of x-variables, that are not in the given data set. My question is how do I add values to x1,x2,x3 along with the existing values. To be clear, suppose x1,x2,x3 each have 20 values. how do I add the 21st observation for each of them so that i get predicted value of y at those x-points. I know this is a crude way of getting a predicted value from a regression model. Thank You.
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