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The corresponding model equations were derived from the stepwise regression procedure.
Backwards stepwise regression procedure was used to remove variables based on the exit criterion (p > 0.10) (Gartland et al. 2001).
In order to obtain optimum number of variables for the correlation model, stepwise regression procedure was used to build QSAR models by the SPSS 17.0 for windows program.
The conductivity data at temperatures of 5, 25, 45 and 65°C were fitted by employing a forward stepwise regression procedure.
By proper coding, a stepwise regression procedure is used to develop a response model, with which the response modeling approach for robust design is applied.
The 28 soil physicochemical properties and six crop yield parameters measured were partitioned between location and year before applying a stepwise regression procedure to analyze them.
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Full stepwise regression procedures assessed the response to independent variables of landscape-habitat to five bird guilds.
We used stepwise regression procedures to identify independent risk factors.
Stepwise regression procedures (p value for entry and removal set at 0.15) will be applied to identify potential important covariables.
Similar stepwise regression procedures have been used in other publications on the effects of PNMS [ 24, 35, 59].
A stepwise regression selection procedure was performed to build a compact model (Fig. 5C) with two factors finally entered (R=0.678; P<0.05) to avoid high R values using the enter procedure due to overfitting with a high number of factors.
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