The table below is part of an output of data analyzed whose response variable was whether or not (1=yes,0=no) a student was in a relationship (y), the predictor variables included the students age (x1), gender (x2), fee balance (x3) in Ksh’000’,family size (x4) and the religion coded such that (1=catholic,2=protestant,3=muslim,4=hindu) (x5) Examination Irregularity is punishable by expulsion Page 3 of 4 Variables in the equation Step1a B S.E. Wald df Sig. Exp(B) 95% C.I.for EXP(B) Lower Upper Family-size 1.338 .494 4.419 1 .036 .354 .135 .932 Age 1.197 .120 2.710 1 .043 .821 .649 1.038 Fee bal .201 .173 1.342 1 .247 1.222 .870 1.716 Religion 1.085 3 .781 Religion(1) -.073 1.477 .002 1 .961 .930 .051 16.801 Religion(2) 1.468 1.743 1.710 1 .047 4.342 .143 132.234 Religion(3) -19.860 11.714 .000 1 .999 .000 .000 . Gender(1) .645 1.343 .231 1 .631 1.906 .137 26.476 Constant 8.329 4.262 3.819 1 .051 412.576 i) By citing the reasons highlight the variables that contributed significantly to the prediction of the relationship status of a student. ii) Interpret the betas, Exp(β) and the 95%CI for Exp(β) of the variables highlighted in (i) iii) Fit in the regression equation using only the significant variables.
The table below is part of an output of data analyzed whose response variable was whether or not
(1=yes,0=no) a student was in a relationship (y), the predictor variables included the students age
(x1), gender (x2), fee balance (x3) in Ksh’000’,family size (x4) and the religion coded such that
(1=catholic,2=protestant,3=muslim,4=hindu) (x5)
Examination Irregularity is punishable by expulsion Page 3 of 4
Variables in the equation
Step1a B S.E. Wald df Sig. Exp(B)
95% C.I.for EXP(B)
Lower Upper
Family-size 1.338 .494 4.419 1 .036 .354 .135 .932
Age 1.197 .120 2.710 1 .043 .821 .649 1.038
Fee bal .201 .173 1.342 1 .247 1.222 .870 1.716
Religion 1.085 3 .781
Religion(1) -.073 1.477 .002 1 .961 .930 .051 16.801
Religion(2) 1.468 1.743 1.710 1 .047 4.342 .143 132.234
Religion(3) -19.860 11.714 .000 1 .999 .000 .000 .
Gender(1) .645 1.343 .231 1 .631 1.906 .137 26.476
Constant 8.329 4.262 3.819 1 .051 412.576
i) By citing the reasons highlight the variables that contributed significantly to the
prediction of the relationship status of a student.
ii) Interpret the betas, Exp(β) and the 95%CI for Exp(β) of the variables highlighted in (i)
iii) Fit in the regression equation using only the significant variables.
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