Data Analysis UNICEF data at the count value 1 to a variable signifying a \"low
ID: 3322928 • Letter: D
Question
Data Analysis UNICEF data at the count value 1 to a variable signifying a "low birthweight name: lowB assigned the value 0. A logistic regression was performed, with loweWproblem as the outcome. The explanatory variables include exclusively breastfed, the total adult literacy rate, and the gross national income (GNI) per capita (US dollars). y level was analyzed as follows when the percent of infants with low birthweight in a country was 10% or higher, we assigned the ight problem" (variable name: IowBwproblem). The countries whose percent was not more than 10% were what percent of mothers exclusively bre astfed Total adult literacy rate GNI per capita (USS) lowBWproblem Valid N (listwise 106 106 106 106 106 Minimum Maximum Mean Std. Deviation 19.637 21101 90 18060 1940.66 2961.029 48184 84 2945 16 100 73.82 .00 1.00 6415 lowbw Coeft Std. Err. ZP>Iz Odds Ratio 969 .894 4.647 ·031 025 19.653 000 000 2.032 154 10.784 2.385 20.445 000 015 Exclusively breastfed032 -112 Total adult literacy rate GNIpercapita 1.000 48244.350 ConstantExplanation / Answer
Answer:
Q23.
P value for the Adult literacy rate is 0.000 which is significant. Therefore CI for odds ratio not include the value 1.
B.No
Q24.
Mean of the lowBWproblem is 0.6415 which is more than 0.50(50 % mark).
There are more countries with lowbirth weight problem.
A). Yes.
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