Table : TABLE 16-7. Calculating Error When We Use the Regression Equation to Predict When we use a regression equation for prediction, as opposed to using the mean, we have less error. However, we still have some error because not every participant falls exactly on the regression line. This table presents the squared errors for each participant when we predict each one’s score on Y using the regression equation.

Student	Absences (X)	Grade (Y)	Predicted ()	(Y − ) Error	Squared Error
1	4	82	72.74	9.26	85.748
2	2	98	83.52	14.48	209.670
3	2	76	83.52	−7.52	56.550
4	3	68	78.13	−10.13	102.617
5	1	84	88.91	−4.91	24.108
6	0	99	94.30	4.70	22.090
7	4	67	72.74	−5.74	32.948
8	8	58	51.18	6.82	46.512
9	7	50	56.57	−6.57	43.165
10	3	78	78.13	−10.13	0.017