The post is about MCQs Time Series Analysis. There are 20 multiple-choice questions related to time series data, components of time series, least square method, objective of times series, differencing time series, decomposing a time series, and log transformation. Let us start with the MCQs time series analysis.
Online MCQs about Time Series Data Analysis and Forecasting
MCQs Time Series Analysis
- A time series data is a set of data recorded at
- The time series analysis helps:
- A time series consists of ————.
- The forecasts on the basis of a time series are ————-.
- The component of a time series attached to long-term variations is termed as ————.
- The sales of a shopkeeper are associated with the component of a time series
- The secular trend is indicative of long-term variation towards
- The linear trend of a time series indicates towards ———–.
- The method of least squares to fit in the trend is applicable only if the trend is ————.
- The sequence which follows an irregular or random pattern of variation is called ————.
- Three are ———– main components of a time series.
- The systematic components of a time series which follow regular pattern of variations are called
- Which of the following is an example of irregular variation?
- If a straight line is fitted to the time series, then
- What is autocorrelation in time-series analysis?
- In time-series analysis, what does “T” typically represent?
- What is the primary objective of differencing in time-series transformation?
- What is the purpose of log transformation in time-series analysis?
- What is the key objective of decomposing a time series in time-series analysis?
- What technique is commonly used for handling seasonality in time-series feature engineering?
