**Model1**

Mean dependent var 51113,21 S.D. dependent var 7289,625

Sum squared resid 41370104 S.E. of regression 1029,938

R-squared 0,981464 Adjusted R-squared 0,980038

F(3, 39) 688,3203 P-value(F) 8,48e-34

Log-likelihood -357,2170 Akaike criterion 722,4341

Schwarz criterion 729,4789 Hannan-Quinn 725,0320

rho 0,744713 Durbin-Watson 0,640690

**Model 2**

Mean dependent var 51315,50 S.D. dependent var 7254,802

Sum squared resid 42176786 S.E. of regression 1053,525

R-squared 0,980455 Adjusted R-squared 0,978912

F(3, 38) 635,4062 P-value(F) 1,68e-32

Log-likelihood -349,8093 Akaike criterion 707,6187

Schwarz criterion 714,5694 Hannan-Quinn 710,1664

rho 0,783398 Durbin-Watson 0,551705

So the R and Fitted R values are somewhat higher in the first model, but the information criterions ( AK, Schwarz and HQ) show less reliability in the 1st rather than the 2nd, so this is where I am getting a little bit confused and unsure. Tests are made using gretl

All kinds of help or guidances are more than welcome