Table 2 Regression models of stepwise regression and partial least squares for the aqueous separation ratio.

From: Integrating uniform design and response surface methodology to optimize thiacloprid suspension

Model

Regression equation

R2

F-value

Degree of freedom

p-value

Linear model of stepwise regression

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0.9571

22.33

4, 4

0.0054

Quadratic polynomial model of stepwise regression

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0.9810

51.57

4, 4

0.0011

Linear model of partial least squares

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0.9401

—

—

—

Quadratic polynomial model of partial least squares

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0.9595

—

—

—

  1. Note: Non-significant factors were imported and eliminated at the p = 0.05 level. Y is the aqueous separation ratio and X1, X2, X3 and X4represent Tersperse2700, PE1601, xanthan gum and veegum, respectively. R2 represents the coefficient of determination.
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