Using the data found in the table "Foot Length and Height', run a multilinear regression model with "Height" as your response variable and "SEX", "AGE", "FOOT LENGTH"; "SHOE PRINT" and "SHOE SIZE as your predictor variables. Note: all lengths are measured in centimeters (cm).
SEX (F=1) 0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1,1
AGE 21,26,29,30,31,34,41,42,42,42,43,47,48,48,54,58,59,60,67,18,19,19,19,19,20,21,23,26,26,27,27,28,29,30,32,36,36,47,47,58
FOOT LENGTH 28.7,26.8,28.1,27.5,26.7,29.2,26.7,25.1,25.9,28.6,28.8,25.7,26.4,27.9,26.7,27.9,29.2,25.4,27.8,22.2,24.3,25.1,23.8,26.2,26,25.4,23.3,23.5,24.6,23.8,23.8,23.7,25.6,23.8,21.9,24.1,24.6,23.2,25.1,24.1
SHOE PRINT 31.8,31.8,31,31.4,32.4,31.9,31.3,27.6,31.8,34.5,31.6,29.7,31.4,31.4,31.8,31.3,31.3,29.7,31.3,25.9,28.6,26.7,27.9,28.9,25.4,27.9,26.5,26,25.4,26.7,27.9,27.6,26.5,28.4,27.9,25.1,28.1,24.8,27,26.5
SHOE SIZE 12.5,11,10.5,11,10.5,13,11,9,10,14,12,9,10,11,10,11.5,11,9.5,1,9.5,9,9,10,11,10,8.5,8,8,8.5,8,8,9,8.5,9,8,7.5,9,7,10,7.
HEIGHT 182.9,180.3,175.3,190.5,180.3,185.4,184.8,172.7,177.8,193.7,195,175.3,182.3,185.4,175.3,185.4,189.2,177.8,180.3,152.4,166.4,168.3,167.6,165.1,177.8,165.7,167.6,165.1,162.6,167.6,165.1,175.9,166.4,162.6,165.1,157.5,179.1,165.1,172.7,167.6
Qn1Using this modified model (i.e. the one with only the significant variable(s)), find the predicted height of a male, aged 37, with a foot length of 27.2 cm, a shoe print of 31.8 cm, and wearing a size 12 shoe? Round answer to nearest tenth of a centimeter i.e. 191.4cm.