giving tainew desilisute Cirthicimes. 1.8diddicid.e. Betainition min Ceeffictintsi (i) 4.11220 (1) ar 4(c(2,3,8,35,4.37)i,30) 1 in.iMik ia enirt tai.1eis (t) 1,3x+2+ Earla 2 tukes o atcie.9.a.94, Q.th). ys) =9..94,0.925,3) = libiod(wforify) oaliva.a.a.amas,x+ - Ilarwergetprifol Question 10 Has = Frowahiv piavlel and body size Oheight, in omy weight, in ke). Data on these varlables were collected for a sample of 38 individuals. R output analesirig this data is riven belows. - tiprary(titawense) * bratn - na, anit(brain) torain xos select(f)TQ. meight, Height, sact.Ceunt) Xox glimpse(brain) 7 tuemary(tirain.:imi) \[ \begin{array}{l} \text { Coll: } \\ \text { Incformula - PiQ - Neight - Meight + Net_-Count, dato }=\text { brain } \\ \text { Residuali: } \\ \text { Coefficients: } \\ \end{array} \] Restdual standard error: 19.79 on 34 degrees of freedon tultiple R-squaredi 0.2949, Adjusted R-squared: 9.2327 -statistic: 4.74 on 3 and 34 DF, p-value: 0.007222 broin_step = step (brain/m1) rt: AIC=230.67 - Weight + Height + MRI Count FrQ-lantant+sect,Covert * sumary(bratiustep) call:te(fonmia=PIO-Height+Met.Count,data=brain)Mesiduals: Residual standard error: 19,51 on 35 degrees of freedon fultiple R-squared: 0.2949, Adjusted R-squered: 0.2546 -statistic: 7.319 on 2 and 35 DF, p-value: 9.60221 gt=data.frome(Weight=.83,Height=185,MRTCount=903) 3 3rit a. pelug Ise,fit. [1] 5.597372 sar [1] 35 Sresidual scale [1] 19.51609 predict(broin,step, gt, interval = "confidence", level =0.95) 1.97.9019686.54884109.2551 predict(brain_step, gt, interval = "prediction", level =0.95) 197.9019656.69935139.1046 at(c(0.9,0.95,6.975),34) [1] 1.3869521.6969242.032245 qt(c(0.9,0,95,0.975),35) [1]1.3962121.689572<.930108 normal q-q question using the stepwise moded predict performance for an individual who weighs is thin tall and has a mri pbel count of soo.o00. fast view insent format toals table p giving tainew desilisute cirthicimes. betainition min ceeffictintsi ar in.imik ia enirt tai.1eis earla tukes o atcie.9.a.94 q.th ys libiod oaliva.a.a.amas ilarwergetprifol piavlel body size oheight in omy weight ke data on these varlables were collected sample individuals. r output analesirig this riven belows. tiprary bratn na anit torain xos select meight height sact.ceunt xox glimpse tuemary coll: incformula piq neight net_-count dato brain residuali: coefficients: restdual standard error: degrees freedon tultiple r-squaredi adjusted r-squared: df p-value: broin_step="step" rt: aic="230.67" frq-lantant sumary call:te residual fultiple r-squered: gt="data.frome(Weight=.83,Height=185,MRTCount=903)" a. pelug ise sar sresidual scale interval="confidence" level="0.95)" at qt>