The Statistics page summarizes all relevant statistics linked to a product and customer combination. You can view the demand history and performance of the forecast in line with the trend and mean, as well as C-VaR
Before you start
The page provides enable you to display data for a customer and product combination. You can either select the required options from the lists at the top right of the page, or manually enter the required value using the search function.
The Summary Statistics table provides you with key summary statistics for the selected product and customer combination:
| Parameter | Value |
| Mean | Displays the mean value of pure history. |
| Standard Deviation | Displays the dispersed data value in relation to the mean. |
| C-VaR (Mean) | Displays the C-Var value defined as standard deviation divided by the mean of pure history. |
| C-VaR (Trend) | Displays the C-Var value defined as standard error divided by the mean of the trendline. |
| C-VaR (Residual) | Displays the difference between the standard deviation and predicted values. |
| Slope/Mean | Displays the slope value divided by the mean value. The slope of a line is the change in the y variable over the change in the x variable. |
The C-Var Comparison chart allows you to compare the C-Var measurements:
| Parameter | Value |
| C-VaR (Mean) | The C-Var is defined as standard deviation divided by the mean of pure history. |
| C-VaR (Trend) | The C-Var is defined as standard error divided by the mean of the trendline. |
| C-VaR (Residual) | The difference in standard deviation and predicted values. |
The View Settings table allows you to specify:
| Parameter | Value |
| View Years History | This is the number of years history to view. If a user enters more than the maximum history available, then the maximum available will be shown. |
| View Period Type | View Period Type: This provides options to view planning periods as either:
|
Steps
Note: Selecting additional years will extend the viewing range from this minimum position.
Select the Effective Only (Refresh) option to only give us the products which are defined as effective, for planning. See D1010 - Product Effectivity for more information.
Regression Graph
The Regression Graph chart and table displays the chained history, in line with the mean and the demand. Use regression analysis to analyze the relationship between the three factors and make predictions about future demand.
| Parameter | Value |
| Chained History | Displays the value of the sum of Selected History (U) and Inherited History. |
| Mean | Displays the mean value of pure history. |
| Trend | Displays the remainder left when the seasonality index is removed from history. |
