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interpreting report for cross product in regression

Hello,

I have seen similar questions to mine here, but I am still a bit confused. I am doing an ordinal logistic regression using the fit model function, to compare the slopes of 3 regressions (for 3 different groups). I wish to see if the slopes of these regression lines are significantly different or not. I have included here the two sections of the report I wish to interpret. Can someone tell me what are the 3 slopes, and how I figure out which ones are significantly different from each other (or not) ?

thanks

Parameter Estimates

Term Estimate Std Error ChiSquare Prob>ChiSq
Intercept[0] 2.14767299 0.0995951 465.01 <.0001
x -0.0122746 0.1072329 0.01 0.9089
Watershed 1 -0.0036705 0.1434278 0 0.9796
Watershed 2 -0.3389146 0.1260122 7.23 0.0072
Watershed 1*x -0.1632537 0.1617892 1.02 0.3129
Watershed 2*x -0.0676399 0.1267653 0.28 0.5936

Effect Likelihood Ratio Tests

Source Nparm DF L-R ChiSquare Prob>ChiSq
x 1 1 0.01309947 0.9089
Watershed 2 2 8.7829368 0.0124
Watershed*x 2 2 2.00804932 0.3664

Re: interpreting report for cross product in regression

Hi,

I've tried to space out the table better, although it's damn hard to copy it here from another program. Hope someone can help. thanks

Parameter Estimates
>
> Term ---------------Estimate-------------- Std Error --------ChiSquare-------Prob>ChiSq
> Intercept ----------2.14767299-------------0.0995951--------465.01-----------0.0001
> x --- ----- ---------0.0122746 --------0.1072329--------------- 0.01----------0.9089
> Watershed 1 ------0.0036705-----------0.1434278 -------------0-------------0.9796
> Watershed 2-----------0.3389146 -----------0.1260122---------7.23-------------- 0.0072
> Watershed 1*x ---------0.1632537-------------0.1617892--------1.02 ------- 0.3129
> Watershed 2*x ------------ -0.0676399------0.1267653----- 0.28----------.5936
>
>
>
>
> Effect Likelihood Ratio Tests
>
> Source ----------Nparm------ DF-----L-RChiSquare-------- Prob>ChiSq
> x --------------- 1------------------1------ ---------0.01309947------------ 0.9089
> Watershed--------2-----------------2 ---------8.782936------------- 0.0124
> Watershed*x -------2----------------2 ------------------2.0080493--------------0.3664