The best estimate component of BE + U represents the core information that is known and understood about the model response variables.
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More generally, " R " 2 is the square of the correlation between the constructed predictor and the response variable.
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The ESS is the sum of the squares of the differences of the predicted values and the mean value of the response variable:
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The statistical results show that functional diversity and species composition significantly affected the six response variables to a greater extent than species diversity.
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The notion of a " unique effect " is appealing when studying a complex system where multiple interrelated components influence the response variable.
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Equivalently, heteroscedasticity refers to unequal conditional variances in the response variables " Y " " i ", such that
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One of the typical ones that's most relevant to you is that the error in the response variable is identically distributed for all points.
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In a narrower sense, regression may refer specifically to the estimation of continuous response variables, as opposed to the discrete response variables used in classification.
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In a narrower sense, regression may refer specifically to the estimation of continuous response variables, as opposed to the discrete response variables used in classification.
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In statistics, "'response surface methodology ( RSM ) "'explores the relationships between several explanatory variables and one or more response variables.
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