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Practice Tip
Multiple regression analysis, a statistical tool often used in litigation as evidence in employment-discrimination suits, can also be useful in product liability matters to show probable causation and also to show the probable range of economic damages.
Basically, regression analysis statistically compares the relationship between two or more independent, or explanatory, variables and one dependent variable. The dependent variable is the variable the model is attempting to explain.
For example, in a model used to examine longevity, age would be the dependent variable. Diet, race, sex and geographical location could constitute independent variables. Diet might prove to be either a significant or insignificant factor in longevity, or the regression analysis may show that diet is a statistically insignificant predictor of longevity, while geographical location and sex might be shown to bear a significant relationship to longevity.
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