Question:

Match List-I with List-II \[\begin{array}{|c|c|} \hline \textbf{Categories of Time Series Patterns} & \textbf{Their meaning} \\ \hline \text{(A) Seasonal Variation} & \text{(I) movement in an economic variable that is periodic.} \\ \hline \text{(B) Random Fluctuation} & \text{(II) steady movement in an economic variable over time.} \\ \hline \text{(C) Business Cycles} & \text{(III) movement in an economic variable that depends on the time of the year.} \\ \hline \text{(D) Trends} & \text{(IV) movement in an economic variable that are due to unpredictable factors.} \\ \hline \end{array}\] Choose the correct answer from the options given below:

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Understanding time series patterns helps in forecasting economic trends, cycles, and seasonal behaviors in the market.
Updated On: Sep 24, 2025
  • (A) - (III), (B) - (IV), (C) - (I), (D) - (II)
  • (A) - (I), (B) - (IV), (C) - (II), (D) - (III)
  • (A) - (III), (B) - (II), (C) - (IV), (D) - (I)
  • (A) - (II), (B) - (III), (C) - (I), (D) - (IV)
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The Correct Option is B

Solution and Explanation


Step 1: Understanding time series patterns.
- **Seasonal Variation (A):** This is the regular and predictable pattern that repeats at fixed intervals, often based on the time of the year. It corresponds to **(I)**.
- **Random Fluctuation (B):** These are unpredictable variations in the data that cannot be attributed to any trend or cycle. They correspond to **(IV)**.
- **Business Cycles (C):** These represent periods of expansion and contraction in economic activity over time, and they correspond to **(II)**.
- **Trends (D):** Trends represent the long-term movement in data, typically upward or downward, and correspond to **(III)**.

Step 2: Conclusion.
The correct match is (A) - (I), (B) - (IV), (C) - (II), (D) - (III).

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