For Univariate Time Series:

Select a time series data which you want to forecast. The minimum data point

should be $30.$

Q$1.$ Graphically plot the data against time and determine the pattern of the time

series data $($Trend$,$ Seasonality, Cyclicality or Random$)$ pattern in the data sets

using autocorrelation function $($or correlogram$)$ methods.

Q$2.$ Perform the various moving averages and smoothing methods such as Na$$ve

Methods$($all$),$ simple average, moving average, double moving average,

weighted moving averages, exponential smoothing, Holt$$s Methods and Winters

Methods of forecasting $,$ seasonal decomposition methods.

Q$3.$ Select an appropriate model for the data sets for forecasting using various

forecast error measurements and give your conclusion.