The predicted values were computed by using the line of best fit, y = 3. 2x 2. A 4-column table with 4 rows. The first column is labeled x with entries 1, 2, 3, 4. The second column is labeled given with entries 16. 1, 7. 4, 11, 15. The third column is labeled predicted with entries 5. 2, 8. 4, 11. 6, 14. 8. The fourth column is labeled residual with entries a, b, c, d. What are the residual values needed to complete the chart? a = b = c = d =.

the required function is .

step-by-step explanation:

from the given table it is noticed that the graph passing through (-3,7), (0,4), (3,1) and (8,-4).

it is a linear function because the value of y is decrease by one as the value of x increase by 1.

the slope of the function is

the slope of the function is -1 and the y-intercept is 4.

the slope intercept form is

where, m is slope and b is y-intercept.

therefore the required function is . the graph of this function is shown below.