Levelling model

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The "levelling model" refers to an approach utilized in statistical analysis that aims to estimate the underlying relationships between variables while accounting for potential confounding factors. This method is commonly used in regression analysis, where it helps to control for extraneous influences and ensure more accurate predictions. In essence, a levelling model seeks to "level the playing field" by adjusting for any imbalances that might otherwise skew results or misrepresent relationships among variables.