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.