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Advanced statistic using R please solve on paper
4- Please summarize the code and the related output below. (20 pts) > hyp.out <-glm(hypev-age_p+sex+sleep+bmi, data-NH11, family-binomial) coef (summary (hyp.out)) Estimate Std. Error z value Pr(1zI) (Intercept) -4.26947 0.056495 -75.57 0.00e+00 age p 0.06070 0.000823 73.78 0.00e+00 sex2 Female-0.14403 0.026798 -5.37 7.68e-08 -0.00704 0.001640-4.29 1.78e-05 0.01857 0.000951 19.53 6.49e-85
cbind (predDat, predict (hyp.out, type respons e, se. fit TRUE, interval=confidence, = newdata predDat)) age p sex bmi sleep fit se.fit residual.scale 1 33 2 Female 29.9 7.86 0.129 o.00285 63 2 Female 29.9 7.86 0.478 0.00482
math   Statistics-And-Probability   
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