You are interested in factors associated with asthma diagnosis in children. You conduct a cross-sectional study and generate the output below. Outcome: asthma diagnosis (1=yes; O=no) Independent variables: total number of kids in household, whether child was born in the US (1=yes; O=no), child's gender (1=male; O=female), and child's age (years 11731 logistic asthma totkids4 borninus male ageyr_ch Number of obs Logistic regression LR chi2 (4) Prob > chi2 Log likelihood = -6748.7575 Pseudo R2 103.87 0.0000 0.0076 asthma l Odds Ratio Std. Err. P> Z (95% Conf. Interval] totkids 41 borninus 1 male ageyr_ch 1.068593 1.609407 .7746908 .970028 .0260974 .1942485 .0334584 .0043837 2.72 3.94 -5.91 -6.73 0.002 0.000 0.000 0.000 1.018648 1.270368 .7118125 .961474 1.120982 2.03893 .8431235 .9786582 a. Interpret the OR for being born in the US (borninus) and the confidence interval. b. Interpret the OR for total kids in household (totkids4) and the p-value. You are interested in factors associated with asthma diagnosis in children. You conduct a cross-sectional study and generate the output below. Outcome: asthma diagnosis (1=yes; O=no) Independent variables: total number of kids in household, whether child was born in the US (1=yes; O=no), child's gender (1=male; O=female), and child's age (years 11731 logistic asthma totkids4 borninus male ageyr_ch Number of obs Logistic regression LR chi2 (4) Prob > chi2 Log likelihood = -6748.7575 Pseudo R2 103.87 0.0000 0.0076 asthma l Odds Ratio Std. Err. P> Z (95% Conf. Interval] totkids 41 borninus 1 male ageyr_ch 1.068593 1.609407 .7746908 .970028 .0260974 .1942485 .0334584 .0043837 2.72 3.94 -5.91 -6.73 0.002 0.000 0.000 0.000 1.018648 1.270368 .7118125 .961474 1.120982 2.03893 .8431235 .9786582 a. Interpret the OR for being born in the US (borninus) and the confidence interval. b. Interpret the OR for total kids in household (totkids4) and the p-value