A regression analysis between height y (in cm) and age x (in years) of 2 to 10 years old boys yielded the least squares line $\hat { y }$ = 87 + 6.5x. This implies that by each additional year height is expected to:
A)increase by 93.5cm.
B)increase by 6.5cm.
C)increase by 87cm.
D)decrease by 6.5cm.

Question

Quizplus · Accepted Answer

The coefficient of x (6.5) in the regression equation represents the expected increase in height (y) for each additional year of age (x), hence an increase of 6.5cm per year.

A Regression Analysis Between Height Y (In Cm) and Age y^\hat { y }y^​

A Regression Analysis Between Height Y (In Cm) and Age $\hat { y }$