The estimated regression equation was found to be = 0.5x + 18.8 and the predicted values of _i are given in the table below. Use the table to find the errors y_{i i}, and the squared errors (y_{i i})². The sum of the squared errors will be SSE.

x_i

y_i

_i

Error

y_ii

Squared Error

(y_ii)²

4

19

20.8

1920.8=1.8

(1.8)²=3.24

5

27

21.3

32.49

12

14

24.8

116.64

17

36

27.3

8.7

22

28

29.8

1.8

SSE

=

(y_ii)²

=