BACHELOR OF BUSINESS ADMINISTRATION

Detailed explanation-1: -A time series is a sequence of observations on a variable measured at successive points in time or over successive periods of time.

Detailed explanation-2: -WHAT IS A TIME SERIES? A time series is a collection of observations of well-defined data items obtained through repeated measurements over time. For example, measuring the value of retail sales each month of the year would comprise a time series.

Detailed explanation-3: -A time series is a sequence of data points, typically consisting of successive measurements made over a time interval. Examples of time series are solar activity, ocean tides, stock market behavior, and the spread of disease. Time series are often plotted using line charts.

Detailed explanation-4: -Seasonal Pattern Seasonal patterns are recognized by observing recurring patterns over successive periods. Seasonality is the number of time steps that it takes for a full data cycle, after which the cycle repeats throughout the time series.

Detailed explanation-5: -The three main types of time series models are moving average, exponential smoothing, and ARIMA. The crucial thing is to choose the right forecasting method as per the characteristics of the time series data.