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Moving Averages and Exponential Smoothing MCQs PDF: Questions Answers Download
Forecasts for Holts linear exponential smoothing method are obtained using
- One smoothing constant
- Two smoothing constant
- Three smoothing constant
- Four smoothing constant
Holt's exponential smoothing is used to forecast a time series with
- Linear trend
- Irregular trend
- Horizontal trend
- Seasonal trend
In the exponential smoothing, only one weight is selected which is of the
- Frequently accessed data value
- Older data values
- Most recent data value
- Current pointing data value
Smoothing methods generally provide a high level of accuracy for
- Short-range forecast
- Long-range forecast
- Exponential range forecasts
- Moving-range forecasts
In weighted moving averages, the weight decreases for
- Older data values
- Most recent data value
- Current pointing data value
- Frequently accessed data value
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Engineering Mathematics Practice Questions
MBA Business Statistics Practice Tests
Engineering Mathematics MCQ Questions
Moving Averages and Exponential Smoothing MCQs Book Questions
- Skewness of chi-square distribution depends on its
- Dividing cumulative frequency at some given point, by total cumulative frequency, outputs
- Mean sum of square for estimated sum of square is computed through
- A combination of cross-sectional and time series data is said to be
- Tests of hypotheses (t-test, f-test) incase of heteroscedasticity disturbance are