Introduction
The Regression Activity allows you to view correlations on a Site, view the CuSUM and set targets based on the CuSUM and Regression. This activity is not available from the main Activity Menu; it is only available via right click of a Site or through the Site Overview activity.
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Navigation
Click on the Site in the Site Overview Activity
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Alternatively, right-click on a Site and select Regression from the menu
Regression Correlations
On entry to the Regression function, a screen will be displayed which shows all existing Regression Correlations that have been created.
From here, it is possible to view and work with these existing correlations. Alternatively, new correlations can be created by either manually by selecting 
or by letting the system automatically discover potential correlations by selecting 
. More details are provided below.
View Existing Correlation
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Correlations can also be setup manually by selecting and 
and choosing the required correlation items within the setup screen.
Drag and drop the required Dependant Data Type by selecting from the dropdown. Options include Account, Meter, Monitoring Point, Channel.
Drag and drop the required Independent Data Type by selecting Associated Data from the dropdown. Then choose the data you require, for example Degree Days or Occupancy.
Click on the selected Dependant Data Type, then click Refresh Chart to update the data.
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Once the Dependent and Independent Data Types have been set, along with the start and end date, then if the "Refresh Chart" button is pressed after selecting one of the data types then a graph at the bottom of the window is visible which shows the data for the period. This is useful for checking that the data is available and complete for the whole period. In the screenshot above, HH consumption data from a Meter is being plotted against Occupancy data in an Associated Data item. |
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Correlations will be between two data sets and those found automatically will display as follows, the first item is the dependent data type, the second is the independent data type.
Regression
Upon entering a Regression Correlation, then the Regression screen will be displayed in the context of the Chart Tab.
This is where the Dependent Data Type (y axis or vertical axis) is plotted against the Independent Data Type (X axis or horizontal axis) and we can start working with the relationship between the two datasets and determine what expected performance might be. There are a number of components in this screen, which are explained in the subsequent sections below.
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- Date (and time if applicable)
- X value - the value of the independent variable
- Y value - the value of the dependent variable
- Y deviation - the difference between the expected performance based on the regression line and the actual value (e.g the regression line expects the consumption to be 50 based on the production output being 10. The actual value is 75, so the Y deviations would be 25).
- A positive value indicates deviation above the regression line, a negative value indicates deviation below the regression line
- Included - a tickbox which shows whether or not the data point is included in the regression. These can be selected or deselected as required.
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Cumulative Sum (CuSUM)
Once the Regression Correlation has been created and the expected performance determined, then the CuSUM control chart can be used to view the performance of the dependent variable over time. More details about this can be seen on the introduction page here.
This can be accessed by clicking on either "CUSUM" links at the top of the screen:
Chart Tab
The graph shows the cumulative data based on the CuSUM period.
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