Table 1 Descriptors of the regression model

R

R square

Adjusted R square

Std. error of the estimate

Durbin-Watson

0.956^b

0.914

0.901

0.00750

2.148

Sum of squares

df

Mean square

F

Sig.

1

Regression

0.016

4

0.004

69.241

0.000^a

Residual

0.001

26

0.000

Total

0.017

30