MCQ 2 Consider the regression output below. It records a regression for data on US states for the years from from 1977 to 1999. The variable "law" is a variable equal to "yes" if a given state has implemented laws banning the carrying of concealed weapons in a particular year. Examine the R output below. What fraction of US states had such laws in 1999 according to the results reported below? df=df %>% mutate (law id-law=="yes") 1m (law_id factor (year), df) %>% summary() ## ## Call: ## 1m (formula = law_id ~ factor (year), data = df) ## ## Residuals: ## Min 1Q Median 3Q Max # # -0.56863 -0.23529 -0.09804 -0.07843 0.92157 ## ## Coefficients: ## ##23 (Intercept) Estimate Std. Error t value Pr(>|t|) 7.843e-02 5.547e-02 1.414 0.15766 7.845e-02 7.845e-02 7.845e-02 0.000 1.00000 0.000 1.00000 0.000 1.00000 0.000 1.00000 0.250 0.80267 0.250 0.80267 0.250 0.80267 0.250 0.80267 0.750 0.45351 1.000 0.31763 1.250 0.21165 1.250 0.21165 2.000 0.04578 * 2.749 0.00606 ** 3.249 0.00119 ** 3.249 0.00119 ** 3.249 0.00119 ** 4.249 2.32e-05 *** 5.499 4.71e-08 *** 6.249 5.82e-10 *** 6.249 5.82e-10 *** 6.249 5.82e-10 *** ## factor (year) 1978 -7.201e-15 # # factor (year) 1979 -8.704e-15 ## factor (year) 1980 -1.496e-15 # # factor (year) 1981 -1.595e-14 7.845e-02 # # factor (year) 1982 # # factor (year)1983 ## factor (year) 1984 # # factor (year) 1985 ## factor (year) 1986 ## factor (year) 1987 ## factor (year) 1988 ## factor (year)1989 # # factor (year) 1990 # # factor (year) 1991 # # factor (year) 1992 ## factor (year) 1993 # # factor (year) 1994 # # factor (year) 1995 #2 #23 factor (year) 1996 # # factor (year) 1997 ## factor (year) 1998 # # factor (year) 1999 ## --- # #23 Signif. codes: ## 1.961e-02 7.845e-02 1.961e-02 7.845e-02 1.961e-02 7.845e-02 1.961e-02 7.845e-02 5.882e-02 7.845e-02 7.843e-02 7.845e-02 9.804e-02 7.845e-02 9.804e-02 7.845e-02 1.569e-01 7.845e-02 2.157e-01 7.845e-02 2.549e-01 7.845e-02 2.549e-01 2.549e-01 3.333e-01 7.845e-02 4.314e-01 7.845e-02 4.902e-01 7.845e-02 4.902e-01 7.845e-02 4.902e-01 7.845e-02 7.845e-02 7.845e-02 *** 0.001 **** 0.01 * 0.05 0.11 ## Residual standard error: 0.3961 on 1150 degrees of freedom ## Multiple R-squared: 0.1635, Adjusted R-squared: 0.1475 # # F-statistic: 10.22 on 22 and 1150 DF, p-value: < 2.2e-16 A 7.83% B 4.9% C 49% D 57% E I do not want to answer this question