A toothpaste retailer collects sales data and the number of commercials that were broadcast during the previous 60 weeks. The retailer creates a time-series model for prediction of sales.
You can use this data to demonstrate ARIMA, Single Exponential Smoothing, and other analyses that use time series data that do not have seasonal patterns or trends for forecasting.
|Sales||The number of toothpaste tubes that were sold at a given store in a given week|
|Commercials||The number of commercials that were broadcast during prime hours of that week|