Table : TABLE 16-6. Calculating Error When We Predict the Mean for Everyone If we do not have a regression equation, the best we can do is predict the mean for Y for every participant. When we do that, we will of course have some error, because not everyone will have exactly the mean value on Y. This table presents the squared errors for each participant when we predict the mean for each of them.
StudentGrade (Y)Mean for Y(YMY) ErrorSquared Error
18276  6  36
2987622484
37676  0    0
46876−8  64
58476  8  64
6997623529
76776−9  81
85876−18  324
95076−26  676
10  7876  2    4