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Linear vs. multiple regression explained
Linear regression analyzes the relationship between two variables. Multiple regression examines several variables' effects on a single outcome. Both techniques predict an outcome based on historical ...
Functional linear regression analysis extends classical regression to contexts where predictors, responses or both are functions over continuous domains. In scalar-on-function models, a scalar outcome ...
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