课程: Data, Economic Modeling, and Forecasting with Stata

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Univariate model

Univariate model - Stata教程

课程: Data, Economic Modeling, and Forecasting with Stata

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Univariate model

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- [Instructor] Now that you've done your univariate regression and you have an output I've brought this over here so we can actually begin to create forecasts out of it. We've discussed the statistics that make these numbers valid, like the T statistics and the probability of the F statistic and the R-squared, adjusted R squared. We've talked about those but now's the time to talk about the coefficients in our outputs and there are two. The first, is the coefficient for the Chinese Manufacturing PMI number which is our one independent variable and then there's this other number. This is actually the constant. This represents the intercept of the formula that we're going to put together as we build our forecast. This all comes back to the equation of a line which you might recall is Y equals MX plus B but econometrically or statistically we talked about Y is equal to beta naught plus beta one times X…

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