Respuesta :
Answer:
[tex]\hat \beta_0 = 12.478 - 1.581 *5.923= 3.114[/tex]
So then the best answer is:
D. 3.114
Step-by-step explanation:
For this case we have a linear model given by:
[tex] y = \beta_1 x + \beta_0[/tex]
Where [tex]\hat \beta_1 = 1.581[/tex]
And we ar einterested on find the value for [tex] \beta_0[/tex] assuming that we have the following coordinates (x= 5.923 , y = 12.478) we cna solve for the desired value like this:
[tex] \hat \beta_0 = \bar y -\hat \beta_1 \bar x[/tex] that result comes from the maximum estimation likehood of the parameters.
And if we replace the values we got:
[tex]\hat \beta_0 = 12.478 - 1.581 *5.923= 3.114[/tex]
So then the best answer is:
D. 3.114