Indicate whether or not you can linearize the regression functions below so that OLS estimation methods can be applied:
(a)Y_i = ${ } _ { e } \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i }$ (b)Y_i = $\beta _ { 1 }$ $X _ { 1 i } ^ { \beta _ { 1 } }$ $X _ { 2 i } ^ { \beta _ { 2 } }$ + u_i

Question

Indicate whether or not you can linearize the regression functions below so that OLS estimation methods can be applied:
(a)Y_i =

{ } _ { e } \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i }

(b)Y_i =

\beta _ { 1 }

X _ { 1 i } ^ { \beta _ { 1 } }

X _ { 2 i } ^ { \beta _ { 2 } }

+ u_i

Quizplus · Accepted Answer

The Answer of Indicate whether or not you can linearize the regression functions below so that OLS estimation methods can be applied: (a)Y_i = ${ } _ { e } \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i }$ (b)Y_i = $\beta _ { 1 }$ $X _ { 1 i } ^ { \beta _ { 1 } }$ $X _ { 2 i } ^ { \beta _ { 2 } }$ + u_i

Indicate Whether or Not You Can Linearize the Regression Functions eβ0+β1Xi+ui{ } _ { e } \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i }e​β0​+β1​Xi​+ui​

Indicate Whether or Not You Can Linearize the Regression Functions ${ } _ { e } \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i }$