The chart represents a data set’s given values, predicted values (using a line of best fit for the data), and residual values. 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 6, 12, 13, 20. The third column is labeled predicted with entries 7, 11, 15, 19. The fourth column is labeled residual with entries negative 1, positive 1, g, h. Which are the missing residual values? g = 2 and h = –1 g = 28 and h = 39 g = –2 and h = 1 g = –28 and h = –39

Respuesta :

Answer:

C: g = –2 and h = 1

Step-by-step explanation:

edg2021

Answer:

C: g = –2 and h = 1

Step-by-step explanation:

edg2021

The residual value is the given or measured number minus the predicted. So subtract them.

Lanuel

Based on the calculations, the missing residual values are equal to: C. g = -2 and h = 1.

What is a residual value?

A residual value can be defined as a difference between the measured (observed) value from a scatter plot and the predicted value from a scatter plot.

From the given table, we would calculate the residual value (g) as follows:

g = 13 - 15

g = -2.

For residual value (h):

h = 20 - 19

h = 1.

Read more on residual value here: https://brainly.com/question/3759414

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