data lbw; infile ' /home/u62562997/moarahman/ph 620 intro to sas/Data/LBW.DAT'; *"path" is the location of the file on you local drive; input age 2-3 mweight 5-7 smoke 9 plabor 11 hypert 13 ui 15 visits 17 bweight 19; label age = 'Age of mother (yrs)'; label mweight = 'Weight of mother at last menstrual period (lbs)'; label smoke = 'Smoking status during pregnancy'; label plabor = 'History of premature labor'; label hypert = 'History of Hypertension'; label ui = 'Presence of uterine irritability'; label visits = 'Number of physician visits during the first trimester'; label bweight = 'Birth weight'; run; data lbw; set lbw; * Recode the outcome: birth weight; if bweight in (1,2) then lbw = 1; label lbw = 'Low Birth Weight'; else if bweight = 3 then lbw = 0; run; proc logistic data=lbw; class smoke(ref='0') hypert(ref='0') ui(ref='0') / param=ref; model lbw(ref='0') = age mweight smoke plabor hypert ui visits; run;(now from this code can you answer how can I answerThe following data set is adapted from a study to assess the relationship of several factors to low birth weight. The study was carried out at a single medical center. Outcome of pregnancy was classified into three groups: very low birth weight (< 2000 g), low birth weight (2000-2499 g) and normal ( 2500 g). Several factors thought to affect birth weight were also collected. A total of 100 subjects are included in the data set. Variable Columns 1. Age of mother (yrs) 2-3 2. Weight of mother a