This page summarizes all relevant statistics linked to a product and customer combination. 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
Use the context selectors at the top-right to select a product and customer combination. Additionally, you can manually enter the required values using the search function.
Use the Customer Filter and Product Filter fields to filter on a specific customer and product.
Select a Time View Settings to focus on a specific timeframe.
| Parameter | Value |
| View Years History | This is the number of years history to view. If you enter more than the maximum history available, only the maximum available is shown. |
| View Period Type | View Period Type: This provides options to view planning periods as either:
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Summary Statistics
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. It's the total of the sum of all values in a collection of numbers divided by the number of numbers in a collection. |
| 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 Linear Equation card displays the linear equation used for calculating the trend.
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. |
Regression Graph
The 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 (U) | Displays the value of the sum of Selected History (U) and Inherited History. |
| Mean (U) | Displays the mean value of pure history. It's the total of the sum of all values in a collection of numbers divided by the number of numbers in a collection. |
| Trend (U) | Displays the mean of the Trendline. A trend is the general direction of change in a variable over time. Trends can be upward, downward, or flat, and are usually associated with structural causes. |
Additional information
Refer to the related pages here:
