Hi all,
Newbie question here: I'm doing dummy variable regression using JMP for a school project. When I cross-referenced to Excel's version, I realized the coefficients are completely different even though the t-stats are the same.
JMP:
![JMP version-Model.PNG JMP version-Model.PNG](https://community.jmp.com/t5/image/serverpage/image-id/10510i212A1C1009513C6A/image-size/large?v=v2&px=999)
![JMP-version-Model2.PNG JMP-version-Model2.PNG](https://community.jmp.com/t5/image/serverpage/image-id/10511iA9A58B6591875555/image-size/large?v=v2&px=999)
These two images are of JMP and as you can see as compared to the Excel's version, the figures are different even though I'm using the same attributes.
![Screen Capture_.PNG Screen Capture_.PNG](https://community.jmp.com/t5/image/serverpage/image-id/10513iED8EBF8DBEC1B1DE/image-size/large?v=v2&px=999)
And it's not because of the interaction effect as I did with just the variables, without the interaction effect (e.g. COO x Coupons) and the results are still different.
Strangely, Excel's version seems more correct than the JMP's version, aligning more closely with my secondary and other primary research.
Any advice?