Answer:
e= -5.41
Step-by-step explanation:
Hello!
In linear regression, a residual value is a distance between the observed values and the regression line.
The residual value (e) is calculated as the difference between the observed value (Y) and the predicted value (^Y).
e= Y - ^Y
e= 15.92 - 21.33 = -5.41
I hope it helps!
Answer:
you would put a point on 10 then an arrow up to 20
Step-by-step explanation:
You would use the bottom right box :)
Answer:
C
Step-by-step explanation:
The domain of this function is ![[-4,2]](https://tex.z-dn.net/?f=%5B-4%2C2%5D)
, as it is shown in the graph that 
is only within this interval. The range of this function is ![[-4,4]](https://tex.z-dn.net/?f=%5B-4%2C4%5D)
, as the smallest value of 
is -4 and the largest value of is 4, and takes every possible values between them.
