In the simple linear regression model $Y _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i }$
A) the intercept is typically small and unimportant.
B) $\beta _ { 0 } + \beta _ { 1 } X _ { i }$ represents the population regression function.
C) the absolute value of the slope is typically between 0 and 1 .
D) $\beta _ { 0 } + \beta _ { 1 } X _ { i }$ represents the sample regression function.

Question

Quizplus · Accepted Answer

$\beta _ { 0 } + \beta _ { 1 } X _ { i }$ represents the population regression function.

In the Simple Linear Regression Model Yi=β0+β1Xi+uiY _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i }Yi​=β0​+β1​Xi​+ui​

In the Simple Linear Regression Model $Y _ { i } = \beta _ { 0 } + \beta _ { 1 } X _ { i } + u _ { i }$