H1: No relationship between predicted and collected data for model 1.

H2: No relationship between predicted and collected data for model 2.

H1 is tested using predicted model 1 data (pm1) and collected data (cd).

H2 is tested using predicted model 2 data (pm2) and collected data (cd).

Pearson and Spearman correlation is used for testing.

H1 is accepted and H2 is rejected.

Conclusion from this observation is that model 2 is better than model 1.

My question is: can the conclusion can be made on accepted/rejected hypothesis or I need to make new hypothesis that model 2 is better than model 1 and to test pm1 and pm2 depending on cd. If I have to make new hypothesis, which statistic test is preferable to be used when 3 variable have to be compared?