A sequence of observations on a variable measured at successive points in time or over successive periods of time is known as a time series.
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Q13: In situations where you need to compare
Q14: If the random variability in a time
Q15: Time series data can exhibit seasonal patterns
Q16: When using a moving average of order
Q17: All quarterly time series contain seasonality.
Q19: When forecasting,if a greater number of past
Q20: For a time series with relatively little
Q21: The forecasting method that is appropriate when
Q22: The trend pattern is easy to identify
Q23: Using exponential smoothing,the demand forecast for time
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