The higher the absolute value of a coefficient, the more important the weight of the corresponding variable. Standardized coefficients: The table of standardized coefficients (also called beta coefficients) are used, if the matrix containing the explanatory variables has not been centered, to compare the relative weights of the variables. Model parameters: This table gives the value of each parameter after fitting to the model
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