The line of best fit for a set of data is y = 0.25 + 12 . the point ( 4 , 15 ) is a point in the data set . what is the residual value when x = 4 ? a. -3
b. -2
c. 2
d. 3

2: C

Step-by-step explanation:

To get the residual value, we have to subtract the predicted value from the real value

The predicted value is the one we get through the line of best fit

In this case, we have this as;

y = 0.25(4) + 12

y = 1 + 12 = 13

The real value as it can be seen is 15

So the difference between the values would be;

15-13 = 2

u rich

step-by-step explanation: