Recall the time series forecasting lab $($lab $6)$ that we were performing forecasting for the global Bike sales revenues. The part of the forecasting results$/$reports is shown below:

$(1)$ US Sales:

final $2.$png

$(2)$ Germany Sales

final $3.$png

The forecasting reports are actually the OLAP representation of the original Global Bike sales data warehouse. As we know, data in the warehouse can be identified as facts and dimensions. There may be a lot of facts and dimensions from the warehouse. However, the sales reports are only the slice$/$dice of the original data warehouse.

Questions: What are the measures$/$facts that you can see from the forecasting reports? What are the dimensions $($ that can be observed from the reports$)?$