Respuesta :
Answer:
Step-by-step explanation:
Hello!
A linear regression for the price of renting a room in a hotel and the rating said hotel received was calculated from a sample of n= 25 hotels.
The theoretical regression model is E(Y)= α + βXi
And the estimated regression equation is: ^Y= a + bXi
Where:
The estimator for the slope is b= 125
And the estimator of the Y-intercept is a= -400
So for this example the estimated regression line for the price of the hotel rooms given the ratings of the hotel is:
^Y= -400 + 125 Xi
^Y= represents the estimated average price of a hotel room
a= -400 is the estimated average price of a hotel room when the rating of the hotel is zero.
b= 125 is the modification of the estimated average price of a hotel room when the rating of the hotel increases one unit.
I hope this helps!
Comparing to an standard linear equation, it is found that the equation of the regression line is:
[tex]y = 125x - 400[/tex]
The equation of a line has the following format:
[tex]y = mx + b[/tex]
In which:
- m is the slope.
- b is the y-intercept.
In this problem:
- The slope is of 125, hence [tex]m = 125[/tex].
- The y-intercept is of -400, hence [tex]b = -400[/tex]
Hence, the equation of the regression line is:
[tex]y = 125x - 400[/tex]
A similar problem is given at https://brainly.com/question/16302622