The post is about the MCQs Time Series Quiz. The MCQs Time Series Analysis and Forecasting will help to prepare for exams related to statistics lecturer job, and statistical officer job tests. These MCQs Time Series Quiz will help the learner enhance their knowledge in the field of Time Series. Let us Start with the Online Time Series Quiz with Answers.

Online MCQs Time Series Analysis and Forecasting Quiz with Answers

Time series analysis deals with the data observed with some time-related units such as month, day, years, quarter, 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.

### MCQs Time Series Quiz

- Irregular variations in a time series are caused by
- An additive model of a time-series with the components $T, S, C$, and $I$ is
- I multiplicative model of a time-series with components $T, S, C,$ and $I$ is
- A method full of subjectivity to find out the trend line is
- If the origin in a trend equation is shifted forward by 3 years, $X$ in the equation $Y=a+bx$ will be replaced by:
- If the origin in the trend equation $Y=a+bx$ is shifted backward by 2 years, the variable $X$ in the trend equation will be replaced by
- If the trend line with 1995 as the origin is $Y = 20.6 + 1.68 X$, the trend line with origin 1991 is
- The equation $Y= \alpha \beta^x$ represents
- The simple average method is used to calculate
- Irregular variations are
- A simple average method for finding out seasonal indices is good when
- The moving average in a time series is free from the influences of:
- Value of $b$ in the trend line $Y=a+bX$ is
- A time series consists of
- For the given five values 15, 24, 18, 33, 42, the three years moving averages are:
- What is the primary purpose of a seasonal decomposition plot in time-series analysis?
- In time-series analysis, what type of plot is commonly used to visualize the autocorrelation of a time series?
- In time-series feature engineering, what is a lag feature?
- In time-series analysis, what is the purpose of scaling features?
- What is a common approach to handling missing data in time-series analysis?

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