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These changes yield the so-called multivariate regression model (StatSoft 2013).
build a multivariate regression model including all variables with p < 0.05. .
Given these differences, some covariate adjustment in a multivariate regression model may be needed [47].
Run-number of all possible variable combinations for a multivariate regression model.
A multivariate regression model was developed to determine the independent correlates with PPSE.
Exploratory factor analysis (EFA), and a multivariate regression model were used to assess the attitude and identify its influencing factors.
A multivariate regression model was applied to establish the effects of foreign direct investment on the economic growth in Kenya.
build a univariate regression for each independent variable, build a multivariate regression model including all variables with p < 0.05.
To determine the climatic variables that significantly influence the yield development throughout the century, a multivariate regression model was used.
With the support of GIS software, each variable was classified and entered into the multivariate regression model.
The relationship between current efficiency and the above-mentioned three factors was quantitatively described by a multivariate regression model.
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