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Some of the spatial structure can be explained by the predictor variables used in the model.
This shows that little variations in the safety indicators are explained by the predictor variables.
The laterals roots and root system biomass models showed that more than 99% of the BGB variation was explained by the predictor variables (Tables 4, 5).
The overall prediction of STEMM-related career (whether high- or middle-skill) by the predictor variables was statistically significant; F (19, 3814) = 8.53, p < 0.001.
The root collar and taproot biomass models showed that more than 96 and 98% of the BGB variation, respectively, were explained by the predictor variables.
In the case of Germany, at least 43% of the variance in CK could be explained by the predictor variables, compared to 17% for Austria.
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iMLR extends classical multiple linear regression by permuting the predictor variables being fit to a response variable (or, more strictly speaking, assigning predictor coefficients/weights of 0), either exhaustively or through some manner of subsampling.
The proportion of variance in each DXA variable accounted for by all the predictor variables in each model was expressed with an R2 value.
Moreover, feature selection method can improve the predictive performance of models by selecting the predictor variables most related to target variable; in addition, feature selection can solve the problem when there are correlated variables in the data set which harm the performance of the models.
The R2 represents the proportion of variance in the DXA variables accounted for by all the predictor variables in the model CLBP in males was associated with reduced vertebral bone mineral measures acquired through lateral-projection DXA, independent of age, height and mass.
This section will present the results of the categorical regression analysis organized by the predictor variable.
More suggestions(17)
by the predictive variables
by the response variables
by the hardware variables
by the output variables
by the control variables
by the price variables
by the predictor matrices
by the medium variables
by the decision variables
by the extrusion variables
by the state variables
by the predictor functions
by the design variables
by the matching variables
by the process variables
by the input variables
by the predictor variable
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