Answer:
the answer is: '-2'
Step-by-step explanation:
" A residual value is a difference between observed y-value(from scatter plot) and the predicted y-value( from regression equation line) ".
when we look at the scatter plot we see that the value of y at \(x= -2\) is \(y=0\)
,and when we substitute the value \(x=-2\) into the given equation \(y= -2x-2\)
we get \(y=2.\)
so, the residual value is given as: \(y=0-2= -2.\)
Hence, the residual value at x=-2 is -2.
