Table 5 Best estimation of linear regression models.

\(\:\text{D}\text{M}={0.020\text{H}}_{\text{M}}\left(\text{G}\right)-1.228\)

0.658

9.60

0.027

1.586

2.340

\(\:\text{P}=0.009\text{W}\left(\text{G}\right)+17.759\)

0.779

17.66

0.008

2.398

2.026

\(\:\text{S}\text{E}{\text{Z}}_{\text{p}}\text{E}=-2.731{\text{H}}_{\text{M}}\left(\text{G}\right)-199.289\)

0.833

24.97

0.004

133.93

113.2

\(\:\text{Z}\text{p}\text{V}\text{E}=0.072\text{W}\left(\text{G}\right)+109.167\)

0.710

12.221

0.017

23.937

20.23

\(\:\text{E}=0.077\text{W}\left(\text{G}\right)+116.496\)

0.734

13.784

0.014

24.099

20.37

\(\:\text{C}\text{V}=0.007\text{G}\text{u}\text{t}\left(\text{G}\right)+43.628\)

0.979

228.30

0.000

2.313

1.955

\(\:\text{S}=0.042\text{W}\left(\text{G}\right)+105.894\)

0.972

170.91

0.000

3.699

20.37

\(\:\text{C}=6.740\text{H}\left(\text{G}\right)-42.308\)

0.766

16.390

0.010

74.953

63.35