Question

Fitting Logistic Reegression (depedent varaible(Employed), Independent variables (Age, Race.Ethnicities, Education.Attainment, gender)

dataset

Age	Earnings Past 12 Months	Usual Weekly Hours	Female	Married	No High School Degree	High School Degree or GED	Some College	Associates Degree	Bachelors Degree	Masters Degree	Professional Degree	Doctorate	Educational Attainment	Employed	White	Black	American Indian or Native American	Asian	Hawaiian or Pacific Islander	Other Race	Biracial	Hispanic	Race/Ethnicity	Worked 40+ Weeks During Past 12 Months	Worked 35+ Hours in a Typical Week
18	1200	16	0	0	1	0	0	0	0	0	0	0	No High School Degree	1	1	0	0	0	0	0	0	0	White	0	0
53	0		1	0	0	1	0	0	0	0	0	0	High School Degree	0	0	0	0	0	0	0	0	1	Hispanic	0	0
61	0	70	0	1	0	0	1	0	0	0	0	0	Some College	1	1	0	0	0	0	0	0	0	White	1	1
32	350	24	1	0	0	0	1	0	0	0	0	0	Some College	1	1	0	0	0	0	0	0	0	White	0	0
49	0	30	0	0	0	0	0	0	0	1	0	0	Masters Degree	1	1	0	0	0	0	0	0	0	White	1	0

Answer 1

: C:/Users/parekhku/OneDrive- Merck Sharp&Dohme, Corp/Desktop/ setwd ("C:/Users/parekhku/OneDrive - Merck Sharp & Dohme, Corp/Desktop" datal-read.csvC"Book1.csv" > str (datal) "data.frame': obs. of 26 variables $ Age S Earnings.Past.12.Months $ Usual.Weekly. Hours $ Female $ Married $ No.igh. Schoo1.Degree $ High. School.Degree.or. GED $ Some.College S Associates.Degree $ Bachelors.Degree $ Masters.Degree $ Professional. Degree $ Doctorate $ Educational1.Attainment $ Employed s white $Black $ American. Indian.or.Native.American: int 0 0 0 0 $ Asiarn $Hawaiian.or.Pacific.Is1ander $ Other. Race $ Biracial $ Hispanic S Race. Ethnicity $ Worked.40. .Weeks.During. Past. 12.Months: int 00 10 $ Worked. 35. .Hours.in.a.Typical.Week: int 001 0 : int 18 53 61 32 : int 1200 0 0 350 : int 16 NA 70 24 : int 0 1 0 1 : int 0010 : int 1 00 : int 0 1 0 0 : int 0 011 : int 000 :int 0 0 0 0 : int 000 : int 0 000 : int 0 0 0 0 Factor w/ 3 1evels "High School Degree",..: 213 3 : int 1 011 : int 1011 : int 0 0 0 0 : int 0 000 : int 0 00 0 : int 000 :int 0 0 0 0 : int 010 0 Factor w/ 2 levels "Hispanic", "white" 2 12 2

Console Terminal C:/Users/parekhku/OneDrive-Merck Sharp& Dohme, $ white $ Black $ American.Indian.or. Native. American int 0 0 0 0 $ Asian $ Hawaiian. or.Pacific.Islander $ Other. Race $ Biracial $ Hispanic S Race.Ethnicity S Worked.40. .Weeks.During.Past.12.Months: int 001 0 S Worked. 35. . Hours.in.a.Typical.Week int 0010 : int 1011 :int 0 0 0 0 : int 0 00 0 :int 0 000 :int 000 : int 0 000 : int 0 10 0 :Factor w/ 2 1evels "Hispanic", "white": 2 1 2 2 > reg-g1m(Employed) Error: unexpected'in "reg-glm(Employed)" > reg-glm(Employed~ Age+Race.Ethnicity Educational.Attainment+Female, data-datal,binomial) > summary (reg) Call: glm(formulaEmployedAgeRace.EthnicityEducational.Attainment + Female, family binomial, datadatal) Deviance Residuals: [1] 0 0 0 0 Coefficients: (2 not defined because of singularities) Estimate Std. Error z value PrIzI) 1 (Intercept) Age Race. Ethnicitywhite Educational.AttainmentNo High School Degree 1.426e-09 1.472e+05 Educational.AttainmentSome College Female -2.357e+01 2.202e+05 2.496e-11 3.875e+03 4.713e+01 1.005e+05 0 0 0 0 NA NA 1 NA NA NA NA NA (Dispersion parameter for binomial family taken to be 1) Null deviance: 4.4987e+00 on 3 degrees of freedom Residual deviance: 4.6610e-10 on 0 degrees of freedom AIC: 8 Numher of Fisher Scoring iterations. 27

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