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This gives insight into the baseline relationship between two sets of data and shows how they interact with each other to determine the expected or ‘normal’ performance (e.g. as one goes up, so does the other one). If the energy consumption is less than the norm then this indicates good energy performance, if the energy consumption is greater than the norm then this indicates poor energy performance. For example, when plotting temperature against gas consumption, it might be expected that the consumption increases as the outside temperature cools (as central heating will be in operation). If the data fit is poor, but we know there should be a relationship, it indicates a poor level of control and hence a potential for energy savings and further analysis.

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