Components of Time Series are

(A) Secular Trend Component

(B) Seasonal Component

(C) Moving Average Component

(D) Cyclical Component

Choose the correct answer from the options given below:

A Time Series is data collected over different time periods, such as monthly sales, daily temperature readings, or quarterly profits.

Time Series has 4 main components:

Secular Trend Component - The long-term direction of data (upward or downward). Example: Population steadily increasing over decades.

Seasonal Component - Regular patterns that repeat at fixed intervals (like every year, every month). Example: Ice cream sales increase every summer and drop every winter.

Cyclical Component - Long-term wave-like movements usually linked to economic cycles. Example: Economic booms and recessions that occur over several years.

Irregular/Random Component - Unpredictable variations in the data.

---

Moving Average is a method or technique used to analyze time series data, not a component of the data itself.

Components are the ingredients of the data (like flour, sugar, eggs in a cake), while Moving Average is a tool to measure or smooth the data (like a measuring cup).

---

From the given options:

(A) Secular Trend Component - This is a component ✓

(B) Seasonal Component - This is a component ✓

(C) Moving Average Component - This is a technique, not a component ✗

(D) Cyclical Component - This is a component ✓

---

The correct answer is: (A), (B) and (D) only

The Secular Trend, Seasonal, and Cyclical are actual components of time series, while Moving Average is a technique to smooth out data.