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CHAPTER 20 SECTION 45: TIMESERIES ANALYSIS AND FORECASTING
MULTIPLE CHOICE
192.
The mean absolute deviation averages the absolute differences between the actual values of the time
series at time
t
and the forecast values at time:
a.
t
+ 1
b.
t
c.
t

1
d.
t

2
ANS: B
PTS: 1
REF: SECTION 20.420.5
193.
Which method would you recommend to your statistics professor in selecting the appropriate forecasting
model if avoiding large errors is extremely important to him or her?
194.
The most commonly used measures of forecast accuracy are the:
195.
The mean absolute deviation (MAD) and the sum of squares for forecast error (SSE) are the most
commonly used measures of forecast accuracy. The model that forecasts the data best will usually have
the:
196.
One measure of the accuracy of a forecasting model is the:
a.
deseasonalized time series
b.
fourperiod moving averages
c.
mean absolute deviation
d.
smoothing constant
ANS: C
PTS: 1
REF: SECTION 20.420.5
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197.
To assess the adequacy of a forecasting model, one measure that is often used is the
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 Spring '10
 Kumar
 Forecasting, Regression Analysis, Time series analysis

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