In this test, the MCQs Time Series Analysis and Forecasting will help to prepare for exams related to statistics lecturer job, and statistical officer job tests. This Time Series Analysis Quiz will help the learner enhance their knowledge in the field of Time Series. Let us start with the Time Series Analysis Quiz with answers.
Online MCQs Time Series Analysis and Forecasting
Time series analysis deals with the data observed with some time-related units such as a month, days, years, quarters, minutes, etc. Time series data means that data is in a series of particular periods or intervals. Therefore, a set of observations on the values that a variable takes at different times.
Time Series Analysis Quiz
- The moving averages in a time series are free from the influence of:
- Seasonal variation means the variation occurring within:
- The time series analysis helps to
- The moving average method suffers from:
- The secular trend is indicative of long-term variation towards:
- Link relatives in a time series remove the influence of
- Residual methods for measuring cycles in a time series consist of:
- The component of a time series that is attached to short-term variation is:
- The general decline in sales of a product is attached to the component of the time series:
- The linear trend of a time series indicates:
- The component of a time series attached to long-term variations is termed as:
- Time series analysis helps to:
- Irregular variations in a time series are caused by:
- The best method for finding out seasonal variation is:
- The forecasts on the basis of a time series are:
- What does seasonality in data refer to?
- Which of the following is a key step in the ARIMA modeling process?
- In an ARIMA model, what does the “MA” part of the acronym ARIMA represent?
- Which of the following is a key limitation of the Moving Average (MA) model?
- In a Moving Average (MA) model, what does the “order q” represent?
