QUESTION 3 From Table 5, what was the y variable presented in this table? O a. HOMA-IR O b. sex c. carbohydrate intake O d. all variables were x variables QUESTION 4 From Table 5, what was the slope associated with waist circumference? O a. 0.001 O b. 0.13 O c. 0.62 O d. 0.00 Save All AnQUESTION 5 From Table 5, the relationship between HOMA-IR and total physical activity can be described as O a. direct O b. inverse Save All A MacBook AirKrekoukia article Table 5 Multiple regression model with HOMA-IR (log transformed) as the dependent variable (n = 38) Independent variable Coefficient + SE P Sex. 0.09 .57 Age (y) -0.13 .33 Fat mass (kg)" 0.11 80 Waist circumference (em)" 0.62 + 0.13 c.001 Total physical activity (mind) -0.30 + 0.14 .044 Sedentary time (min/d) -0.21 + 0.15 .17 Vozmax (mL . kg . min ) 0.04 .78 CRP (mg/L) 0.06 .72 IL-6 (pg/ml) -0.16 .22 Energy intake (kJ/d) 0. 02 .89 Carbohydrate intake (g/d) 0.01 94 Intercept -1.16 + 0.42 <.001 r f standard error of estimate="0.093;" p values were log transformed. tv a macbook airkrekoukia article table correlation coefficients adjusted for age among bmi fat mass abdominal obesity and cvd risk factors in boys girls unless otherwise indicated waist circumference estimated vat ter fasting insulin homa-ir crp n="48" il-6 . tg ldl-c hdl-c tc atherogenic index .. krekoukia jul city airquestion from what variable had the strongest relationship with o a. b. c. d. question how much variability resistance can be accounted by not determined data presented save all ans>