Question :
6) At the end of June (and using the historical : 2065991
6) At the end of June (and using the historical data up to and including the month of June), a manager develops the following equation to predict monthly sales: Y = 25,000 + 125x. What is the forecast for the month of September using this linear trend line equation?
A) 25,250
B) 25,375
C) 25,500
D) 26,000
7) The seasonal index for Menchie's Landscaping services for the summer season was 1.35. Based on this information, what can be concluded about the demand for the landscaping services for the summer season?
A) The demand for landscaping services for the summer season is 35% higher than the average demand per season.
B) The demand for landscaping services for the summer season is 35% higher than the average demand during the winter season.
C) The demand for landscaping services for the summer season is 35% lower than the average annual demand.
D) The forecast demand for landscaping services for the summer season will be accurate 35% of the time.
8) Economists want to forecast the demand for automobiles (cars, SUVs and light trucks) as a function of gas prices. Historical data has shown that this relationship can be approximated by a straight line. Which forecasting technique is best suited in this situation?
A) Weighted moving average
B) Exponential smoothing
C) Simple moving average
D) Linear regression
Use the information below to answer the following question(s).
The following table provides demand and forecast information for a specialty store's products which are particularly popular around Halloween.
Period/ Quarter |
Demand |
Regression (De-seasonalized) Forecast |
Winter 13 |
80 |
90 |
Spring |
240 |
198.6 |
Summer |
300 |
307.1 |
Fall |
440 |
415.7 |
Winter 14 |
400 |
524.3 |
Spring |
720 |
632.9 |
Summer |
700 |
741.4 |
Fall |
880 |
850 |
9) What is the seasonal index for the Spring season/ quarter?
A) 0.988
B) 1.171
C) 0.255
D) 0.837
10) What is the seasonally adjusted forecast for Spring 2014?
A) 780
B) 850
C) 625
D) 687
11) The act of removing seasonal variation from a time series to better estimate trend is known as ________.