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hello and welcome in this video weamp;#39;re going to run a log log regression and then interpret the regression coefficient estimate results from our log log regression so uh yeah letamp;#39;s suppose that we start off with the following model um and in this model the independent uh or explanatory variables education experience and age are all in long terms log terms and our response variable wage the uh the dependent variable is in log terms as well so letamp;#39;s say we you know we have this model letamp;#39;s say we run we cut some data we want a few regressions and we come up with the following uh these results you might get from something like our software the r statistics software you might get Orchestra results that look something like this um so for our estimate of beta naught we have the intercept intercept here 1.5 for intercept of beta one we have a education coefficient here 3.3 it actually looks something like this um these I just created and you know made up myself