A line of best fit predicts that when x equals 29, y will equal 32.75, but y actually equals 32. What is the residual in this case

The residual is 0.75

Step-by-step explanation:

Recall that the residual is the VERTICAL distance between the y-value of the  data point and the y-value of the predicted line. This distance can be calculated using the absolute value of the difference between these y-values.

Therefore, in our case the residual is: |32 - 32.75| = |-0.75| = 0.75

from the figure we get,

the x axis shows   the months and,

the y-axis shows the number of satisfied customer.

each line or each cell in upward direction (y-axis) shows 500.

the appropriate scale for the y - axis is: -

a = 2000 customers

b = 4000 customers

c = 6000 customers

d = 8000 customers

e = 10000 customers

f = 12000 customers

g = 14000 customers