Question: > summary(model_h1b_unemployed) Call: lm(formula = h1bvis.supp ~ unemployed, data = immig) Residuals: Min 1Q Median 3Q Max -0.34878 -0.34566 -0.09566 0.15434 0.65434 Coefficients: Estimate Std.
> summary(model_h1b_unemployed) Call: lm(formula = h1bvis.supp ~ unemployed, data = immig) Residuals: Min 1Q Median 3Q Max -0.34878 -0.34566 -0.09566 0.15434 0.65434 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.34566 0.01239 27.890 <2e-16 *** unemployed 0.00312 0.01796 0.174 0.862 --- signif. codes: 0 '***' 0.001 '**' 0.01 '*' 0.05 '.' 0.1 ' 1 residual standard error: 0.3005 on 1120 degrees of freedom (11 observations deleted due to missingness) multiple r-squared: 2.692e-05, adjusted -0.0008659 f-statistic: 0.03015 and df, p-value: 0.8622> summary(model_h1b_other) Call: lm(formula = h1bvis.supp ~ other, data = immig) Residuals: Min 1Q Median 3Q Max -0.34751 -0.34751 -0.09751 0.15249 0.65598 Coefficients: Estimate Std. Error t value Pr(>|t|) (Intercept) 0.344017 0.027784 12.382 <2e-16 0.9052
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