A time series model is a forecasting technique that attempts topredict the future values of a variable by using only historicaldata on that one variable. Here are some examples of variables youcan use to forecast. You may use a different source other than theones listed (be sure to reference the website). There are manyother variables you can use, as long as you have values that arerecorded at successive intervals of time.
Currency price
GNP
Average home sales
College tuition
Weather temperature or precipitation
Stock price
1.  State the variable you are forecasting.
2.  Collect data for any time horizon (daily,monthly, yearly). Select at least 8 data values.
3.  Use the Time Series Forecasting Templates toforecast using moving average, weighted moving average, andexponential smoothing
4.  Copy/paste the results of each method into yourpost. Be sure to state the number of periods used in the movingaverage method, the weights used in the weighted moving average,and the value of ? used in exponential smoothing.
5.  Clearly state the “next period” prediction foreach method.
