Suppose You Wish to Explain Variation in Body Mass Index $B M I _ { i } = \beta _ { 0 } + \beta _ { 1 } \text { Height } _ { i }$

Multiple Choice

Suppose you wish to explain variation in body mass index (BMI) by variation in height (in inches) by estimating the model $B M I _ { i } = \beta _ { 0 } + \beta _ { 1 } \text { Height } _ { i }$
And you suspect heteroskedasticity of the form $\operatorname { Var } ( \varepsilon ) = \sigma ^ { 2 } \text { Height } _ { i } ^ { 4 }$
) You could perform Weighted Least Squares by estimating the model

A) $B M I _ { i } = \beta _ { 0 } + \beta _ { 1 } \text { Height } _ { i }$ .
B) $\text { BMI } _ { i } / \text { Height } _ { i } = \beta _ { 0 } \left( 1 / \text { Height } _ { i } \right) + \beta _ { 1 }$ .
C) $B M I _ { i } / \text { Height } _ { i } ^ { 2 } = \beta _ { 0 } \left( 1 / \text { Height } _ { i } ^ { 2 } \right) + \beta _ { 1 } \left( 1 / \text { Height } _ { i } \right)$ .
D) $1 = \beta _ { 0 } \left( 1 / B M I _ { i } \right) + \beta _ { 1 } \text { Height } _ { i } / B M I _ { i }$ .