英語 での Independent variable の使用例とその 日本語 への翻訳
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Use this information to trace results back to the independent variables.
The following are the t-observed values for each of the independent variables.
Use the F statistic to determine whether the observed relationship between the dependent and independent variables occurs by chance.
The independent variables are likewise sometimes described as explanatory, predictor or exogenous variables. .
Thus the traditional analysis is faulty because it has failed to isolate correctly the independent variables of the system.
Thus the traditional analysis is faulty because it has failed to isolate correctly the independent variables of the system.
The independent variables(in vector form) are called the explanatory variables or regressors.
The following dependent and independent variables were examined in this study.
UHPACK: Graphs with independent variables for Y axis and dependent variables for X axis.
An extension of one-way ANOVA is two-way analysis of variance that examines the influence of two different categorical independent variables on one dependent variable. .
Describing and evaluating the relationship between the dependent variable, and one or more independent variables.
A second order polynomial model consisting of three independent variables was found to accurately describe the kraft pulping of Acacia auriculiformis.
This grid will guide you through the choice of the most commonly used models according to the type and number of dependent and independent variables.
You can change the variables on the axes using the radio buttons under Independent Variables.
Political views and religiosity both influence Americans' view- but as independent variables.
Such measures do not describe how appropriate your model- or the independent variables you select- are for explaining the behavior of the variable the model predicts.
In turn, each of these independent variables are either required to perform other useful functions or are designed-in for trivial reasons.
To go beyond univariate regressions of population abundance on ambient temperature, we constructed multiple quasi-Poisson regressions using independent variables identified by a hierarchical partitioning(HP) analysis(32, 33).
The defined range of the independent variables is specified by USIDV(UMIN, UMAX). When this range is not specified, the whole window is considered as the defined range of the independent variables.
one or more independent variables called predictors.