Calculate (a) MAD and (b) MSE for the following forecast versus actual sales figures: Forecast 98 112 126 140 Actual 91 116 123 140 a) MADequals nothing (round your response to one decimal place). b) MSEequals nothing (round your response to one decimal place).

(a) MAD = 278.4

(b) MSE = 18.5

Step-by-step explanation:

The formula to compute the mean absolute deviation (MAD) and mean squared error (MSE) are:

(a)

Compute the mean absolute deviation as follows:

The mean of the actual values is:

The value of MAD is:

Thus, the value of MAD is 278.4.

(b)

Consider the table attached below.

Compute the mean squared error as follows:

Thus, the value of MSE is 18.5.

two data sets with the same median will not have the same varaibility

step-by-step explanation:

$4034.40

the perimeter of the field is the sum of the lengths of the four sides:

47 yd + 158 yd + 47 yd + 158 yd = 410 yd

the cost of 3 ft (1 yd) of fence is 3×$3.28 = $9.84.

so the cost of jake's wood perimeter fance is

(410 yd) × ($9.84 /yd) = $4034.40