1
GATE ME 2008
+2
-0.6
A moving average system is used for forecasting weekly demand. $${F_1}\left( t \right)$$ and $${F_2}\left( t \right)$$ are sequences of forecasts with parameters $${m_1}$$ and $${m_2}$$, respectively, where $${m_1}$$ and $${m_2}\left( {{m_1} > {m_2}} \right)$$ denote the numbers of weeks over which the moving averages are taken. The actual demand shows a step increase from $${d_1}$$ to $${d_2}$$ at a certain time. Subsequently,
A
neither $${F_1}\left( t \right)$$ nor $${F_2}\left( t \right)$$ will catch up with the value $${d_2}$$
B
both sequences $${F_1}\left( t \right)$$ and $${F_2}\left( t \right)$$ will reach $${d_2}$$ in the same period
C
$${F_1}\left( t \right)$$ will attain the value $${d_2}$$
D
$${F_2}\left( t \right)$$ will attain the value $${d_2}$$
2
GATE ME 2005
+2
-0.6
The sales of a product during the last four years were $$860, 880, 870$$ and $$890$$ units. The forecast for the fourth year was $$876$$ units. If the forecast for the fifth year, using simple exponential smoothing, is equal to the forecast using a three period moving average, the value of the exponential smoothing constant $$\alpha$$ is
A
$${1 \over 7}$$
B
$${1 \over 5}$$
C
$${2 \over 7}$$
D
$${2 \over 5}$$
3
GATE ME 2003
+2
-0.6
The sale of cycles in a shop in four consecutive months are given as $$70, 68, 82 95.$$ Exponentially smoothing average method with a smoothing factor of $$0.4$$ is used in forecasting. The expected number of sales in the next month is
A
$$59$$
B
$$72$$
C
$$86$$
D
$$136$$
4
GATE ME 2000
+2
-0.6
In a time series forecasting model, the demand for five time periods was $$10, 13,$$ $$15,$$ $$18$$ and $$22.$$ A linear regression fit resulted in an equation $$F = 6.9 + 2.9$$ $$t$$ where $$F$$ is the forecast for period $$t$$. The sum of absolute deviations for the five data is
A
$$2.2$$
B
$$0.2$$
C
$$-1.2$$
D
$$24.3$$
GATE ME Subjects
EXAM MAP
Medical
NEET