QUESTION 1
A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting.
|
Month
|
Sales
|
Pounds
|
|
January
|
45
|
54 .3
|
|
February
|
57
|
63.8
|
|
March
|
32
|
39.5
|
|
April
|
44
|
49.8
|
|
May
|
51
|
523
|
|
June
|
34
|
39.9
|
That is the forecast for July if exponential smoothing with an alpha=.04 generated a forecast of 43.0 for June?
41.25 40.64 43.76 42.88
QUESTION 2
A rendering plant wishes to use the data (sales records from a few local businesses and the month of the year) to help determine their supply level for the coming months. The records shown in the table provide an excellent opportunity for you to assist them with their forecasting.
|
Month
|
Sales
|
Pounds
|
|
January
|
45
|
543
|
|
February
|
57
|
63.8
|
|
March
|
32
|
39.5
|
|
April
|
44
|
49.8
|
|
May
|
51
|
523
|
|
June
|
34
|
39.9
|
What is the slope of the regression equation developed when the Sales data are used to predict the Pounds?
0.92 0.86 0.80 0.71
QUESTION 3
The following data represents quarterly sales of lawnmowers.
|
Year
|
Quarterl
|
Quarter 2
|
Quater3
|
Quarter4
|
|
1
|
150
|
140
|
1%
|
165
|
|
2
|
160
|
148
|
210
|
175
|
What is the seasonal factor for the third quarter? (Round to the nearest hundredth.)
.20 .22 .26 .30
QUESTION 4
The manager of 'Skis 4 it is preparing a forecast for January of 2014. Demand exhibits both trend and seasonality.
A trend equation to estimate annual demand has been generated using annual demand of the past 12 years (from 2002 through 2013). The equation is?y?. 4375 • 800X, where X=1 represents year 2W2.
The seasonal factor for January is computed to be 0.23.
Make a seasonally adjusted forecast for demand in January 2014. Round off your answer to the nearest integer.
3398
4583
5668
6769