Answer :
Data
Height (x) Weight (y)
174 54
166 47
176 56
176 55
174 55
176 54
168 50
Use a graphing program to find the regression. I used Excel. The result was:
y = 0.7583x - 78.083, with r^2 = 0.9242
Now subsitute x = 173 to find the predicted height:
y = 0.7583(173) - 78.083 = 53 kg
Height (x) Weight (y)
174 54
166 47
176 56
176 55
174 55
176 54
168 50
Use a graphing program to find the regression. I used Excel. The result was:
y = 0.7583x - 78.083, with r^2 = 0.9242
Now subsitute x = 173 to find the predicted height:
y = 0.7583(173) - 78.083 = 53 kg
The regression equation:
y = a x+ b
a = ( n *∑(x y) - (∑x∑y) )/ ( N *∑x² - (∑x)²)
b = (∑y - a*∑x) / N,
where: N = 7, ∑x = 1210, ∑y=371, ∑ x y=64,168.
Using calculations or Excell tools, we can find the regression equation:
y = 0.758 - 78.08
The weight of supermodel who is 173 cm tall:
y = 0.758 * 173 - 78.08 = 53.054 kg
y = a x+ b
a = ( n *∑(x y) - (∑x∑y) )/ ( N *∑x² - (∑x)²)
b = (∑y - a*∑x) / N,
where: N = 7, ∑x = 1210, ∑y=371, ∑ x y=64,168.
Using calculations or Excell tools, we can find the regression equation:
y = 0.758 - 78.08
The weight of supermodel who is 173 cm tall:
y = 0.758 * 173 - 78.08 = 53.054 kg
