3. Complete the table to find the predicted y-value and the residual or error.

Rememberresidual = actual y-value- predicted y-value

.

x	Actual y	Predicted y = mx + b	Residual
1	2
4	5
4	4
5	7
10	15
11	10
13	16
18	15

How many residuals are positive and how many are negative?

4. Remember,the value ofr² is the proportion of the variation in the response variable that is explained by the least-squares regression line.

For this data set, what percent of the total variation in the y data is explained by the linear regression?