TIME SERIES.docx - TIME SERIES 1 A set of observations recorded at an equal interval of time is called Array data Data Geometric Series Time series data

# TIME SERIES.docx - TIME SERIES 1 A set of observations...

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TIME SERIES 1. A set of observations recorded at an equal interval of time is called Array data Data Geometric Series Time series data 2. Additive model for time series Y = . . . T $\times$ S $\times$ C $\times$ I T $-$ S $-$ C $-$ I T + S + C + I None of these 3. The following are the movement(s) in the secular trend Smooth Regular Steady None of these 4. In moving average method we cannot find trend values of some End Periods Middle Period Starting and End Periods Starting Periods 5. Time series data have a total number of components? 3 6 5 4 6. A rise in prices before Eid is an example of
Cyclical Trend Secular Trend Irregular Trend Seasonal Trend 7. Graph of time series is called Line graph Trend Historigram Histogram 8. Prosperity, Recession, and depression in a business is an example of Irregular Trend Secular Trend Cyclical Trend Seasonal Trend 9. The best-fitted trend line is one for which sum of squares of residuals or errors is Positive Minimum 1 Negative Maximum 10. Multiplicative model for time series is Y = . . . T $\times$ S $\times$ C $\times$ I T + S + C + I T $-$ S $-$ C $-$ I None of these
11. The most commonly used mathematical method for measuring the trend is Semi Average Moving Average Free Hand Curve Least Squares 12. Seasonal variations are Short term variation Long term variation Sudden variation None 13. In the theory of time series, shortage of certain consumer goods before the annual budget is due to Seasonal Variation Secular Trend Irregular Variations Cyclical Variation 14. In the measurement of the secular trend, the moving averages: Smooth out the time series Give the trend in a straight line Measure the seasonal variations None of these 15. A fire in a factory delaying production for some weeks is Secular Trend Cyclical Trend Irregular Trend Seasonal Trend Quiz 2
16. The time series analysis helps to Compare the two or more time series