Dear NBS experts,

I was wondering if I could get some help with the creation of the design matrix for a regression analysis with the NBS. I have been trying many ways but I don't know which is correct. I have one group and 2 variables (A, B); at first I modelled the global mean and the two variables together, in this way (Mean A  B):
1 0 10
1 0 10
1 0 8
1 0 10
1 0 9,25
1 0 10
1 3 9,25
1 1 8,50
1 0 9,50
1 0 10
1 0 9
1 0 9
1 0 10
1 2 10
1 0 8,50
1 0 8,25
1 0 7
1 0 10
1 0 10
1 0 8
1 0 10
1 0 9,25
1 0 10
1 3 9,25
1 1 8,50
1 0 9,50
1 0 10
1 0 9
1 0 9
1 0 10
1 2 10
1 0 8,50
1 0 8,25
1 0 7
1 0 10
1 0 7,75
1 2 9
1 5 9
1 6 8,75
1 6 7,25
1 5 7,25
1 8 9
1 14 8
1 9 8,25
1 4 8
1 10 7
1 3 7,25
1 3 9
1 3 8
1 8 9
1 4 7
1 3 7
1 5 9
1 3 6,75
1 5 7
1 5 7,75
1 6 10
I couldn't get any significant correlation but if I remove the mean something became significant. Then I also modelled both variables separated because I presume that they are correlated. I just want to know which is the correct design to test correlations in the NBS toolbox and if I can set contrasts for both the negative and the positive correlation, n this way for the example before:
[0 -1 0] [0 1 0]
[0 0 -1] [0 0 1]
And the last question, sorry, Do I have to set in the 'Statistical Test': One Sample?

Thanks in advance for your help,

Lorna.