1. How much variability in FEV1 is accounted for by age (for all)? O a. 58% O b. 76% O c. 34% O d. - 34% QUESTION 2 What is the correlation between BMI and FEV1/FVC (for all)? Is it significant? O a. 0.047, no it is not significant O b. 0.047, yes it is significant O c. 0.22, no it is not significant O d. 0.22, yes it is significant QUESTION 3QUESTION 3 What is the strongest relationship reported in Table 2? O a. 0.006 O b.-0.548 O c. 0.78 O d.-0.699 QUESTION 4 What is the slope for age when predicting FEV1/FVC (in women) in Table 3? O a. -0.115 O b. -0.149 O c.-0.082 O d. slope is not givenQUESTION 5 Which variable from Table 4 (for females) is not significantly related to MMF in Table 4? O a. Age O b. Pack-years O c. BMI O d. All are significantTable 4 otherwise indicated) Correlation coefficients, adjusted for age, among BMI, fat mass, abdominal obesity, and CVD risk factors in 9- to 11.5-year-old boys and girls (n = 50 unless BMI (kg/m) Fat mass (kg) Waist circumference (cm)" Estimated VAT (cm-)" Fasting insulin (HU/ml) TER (units) 0.62*# 0.60** 0.64*# HOMA-IR" 0.51 *# 0.66** 0.68* 0.64* 0.69 CRP (mg/L)," n = 48 0.58 0.56* 0.59- 0.73 0.57** IL-6 (pg/ml), n = 48 0.51. -0.02 0.53 * * 0.08 -0.09 TG (mg/dL) 0.48* * -0.11 0.42#* -0.03 0.45* * LDL-C (mg/dL) 0.38 0.16 0.45** 0.13 0.19 HDL-C (mg/dL) 0. 14 0.39* 0.08 -0.39* * -0.43*# TC (mg/dL) 0.41* 0.11 10.05 =0.40** 0.11 Atherogenic index, n = 48 0.08 0.41* 036 0.01 0.44* 0.38- 0.47** "Values were log transformed. * P <:05. p a tv atable multiple regression model with homa-ir transformed as the dependent variable independent coefficient se sex. .57 age fat mass .80 waist circumference touil physical activity .044 sedentary time vo2max . kg min crp .72 il-6 energy intake .89 carbohydrate intercept r2="0.49;" f="7.779;" standard error of estimate="0.093;" .01. values were log transformed. jul macbook air>