# POL242Y5 Lecture Notes - Lecture 16: Statistical Hypothesis Testing, Confounding, General Linear Model

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## Document Summary

Y = a + b1x1 + e. Our aim is to test the null hypothesis and reject it. This it because by doing that we can get one step closer to accepting and proving our research hypothesis. We know this is a bivariate regression because under intercept there is only one variable (coneduc. n). The four may mean less confidence and the one may mean more, or vice versa! So we need to understand what each numeric value/category means. Here we can use levels to find this out. But if levels does not work, we can go back to our book to see how it is coded. Con_govt has four categories (this we found out through freq) but we don"t know the confidence! What an intercept would tell us what would happen to the dependent variable if we hadn"t had. Http://www. thearda. com/archive/files/codebooks/gss2016_cb. asp this can be used to find this independent variable at all. the way it is coded.

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