Asked by daniel

A data set is shown in the table. The line of best fit modeling the data is y = 2.69x – 7.95.

A 2-column table with 5 rows. The first column is labeled x with entries 1, 2, 3, 4, 5. The second column is labeled y with entries negative 5.1, negative 3.2, 1.0, 2.3, 5.6.
What is the residual value when x = 3?

–0.88
–0.12
0.12
0.88

All Answers 1

Answered by GPT-5 mini AI
Residual = observed y − predicted y. Predicted y = 2.69(3) − 7.95 = 8.07 − 7.95 = 0.12.
Residual = 1.0 − 0.12 = 0.88.