d.
Long-range forecasts correct answers Which of the options provided are associated with the effective planning of facility expansion?
a.
Intermediate-range forecasts
b.
Make-to-stock operations
c.
Make-to-order operations
d.
Long-range forecasts
c.
Single exponential sm...
ISQS Final Exam || with 100% Errorless Answers.
d.
Long-range forecasts correct answers Which of the options provided are associated with the
effective planning of facility expansion?
a.
Intermediate-range forecasts
b.
Make-to-stock operations
c.
Make-to-order operations
d.
Long-range forecasts
c.
Single exponential smoothing correct answers Choose the forecasting technique used for
forecasting the time series value in a subsequent period by employing a weighted average of
previous time-series values.
A moving average forecast
b.
A grassroots forecast
c.
Single exponential smoothing
d.
Regression analysis
b.
Irregular variation correct answers With data patterns in a time series in mind, which term
describes an explainable, one-time variation?
a.
Cyclical variation
b.
Irregular variation
c.
Seasonal variation
, d.
Random variation
b.
bias correct answers As it pertains to forecasting, _______ references a forecast's tendency to be
larger or smaller than the actual values of a time series on a consistent basis.
a.
variability
b.
bias
c.
trend
d.
fad
b.
The forecast for sales in year 6 is more than 2000 but less than or equal to 2200.
The forecast for sales in year 6 is more than 2000 but less than or equal to 2200. Forecast for
sales in year 6 is (Y6) = 580 + 260(6) = 2140. Excel provides a very simple tool to find the best-
fitting regression model for a time series. correct answers The sales data for high-end staplers at
an office store called Staplers are provided in the following table for the previous 5 years. After
management plotted this data on a chart, it became clear the sales were predictably increasing in
a linear manner. Further, the sales were dependent on time by the function, Y t = 580 + 260t.
Compute the forecasted sales in year 6 by utilizing simple linear regression.
Year Sales
1 950
2 1050
3 1200
4 1650
5 1950
a.
The forecast for sales in year 6 is more than 1800 but less than or equal to 2000.
b.
The forecast for sales in year 6 is more than 2000 but less than or equal to 2200.
c.
The forecast for sales in year 6 is more than 2400 but less than or equal to 2600.
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