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hello and welcome in this video where youre going to run a log-log regression and then interpret the regression coefficient estimate results from our log-log regression so yeah lets suppose that we start off with the following model and in this model the independent or explanatory variables education experience and age are all in long terms log terms and our response variable wage the independent variable is in log terms as well so lets say we you know we have this model I lets say we run we cut some data when we want a few regressions and we come up with the following these results you might get from something like our software our statistics software you might get regression results that look something like this so for our estimate of beta naught you have that intercept intercept here 1.5 for intercept of beta 1 we have a education coefficient here a 3.3 it actually looks a bit like this these are just created you know wait up myself so itll really give me a true intuition from
