There is some evidence that political views are shaped by where one grew up—in a city, in a suburb, or in a rural area. Using the "comm" variable (0 = rural; 1 = suburban; 2 = urban), we run a regression explaining where one lies along the abortion spectrum (0 = pro-life, 4 = pro-choice). Using the results below, assess that relationship. What is the null hypothesis (be specific)? Do we reject it or not? Interpret your findings for the layperson as well. . regress abort comm Source | SS df MS Number of obs = 305 -------------+---------------------------------- F(1, 303) = 2.57 Model | 5.36960305 1 5.36960305 Prob > F = 0.1100 Residual | 633.364823 303 2.09031295 R-squared = 0.0084 -------------+---------------------------------- Adj R-squared = 0.005
a.) There is some evidence that political views are shaped by where one grew up—in a city, in a suburb, or in a rural area. Using the "comm" variable (0 = rural; 1 = suburban; 2 = urban), we run a regression explaining where one lies along the abortion spectrum (0 = pro-life, 4 = pro-choice). Using the results below, assess that relationship. What is the null hypothesis (be specific)? Do we reject it or not? Interpret your findings for the layperson as well.
. regress abort comm
Source | SS df MS Number of obs = 305
-------------+---------------------------------- F(1, 303) = 2.57
Model | 5.36960305 1 5.36960305 Prob > F = 0.1100
Residual | 633.364823 303 2.09031295 R-squared = 0.0084
-------------+---------------------------------- Adj R-squared = 0.0051
Total | 638.734426 304 2.10110009 Root MSE = 1.4458
------------------------------------------------------------------------------
abort | Coef. Std. Err. t P>|t| [95% Conf. Interval]
-------------+----------------------------------------------------------------
comm | .1886133 .1176811 1.60 0.110 -.0429625 .420189
_cons | 2.79301 .1382604 20.20 0.000 2.520938 3.065082
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