high p-value of constant in regression
Six Sigma – iSixSigma › Forums › Old Forums › Europe › high p-value of constant in regression
- This topic has 2 replies, 3 voices, and was last updated 11 years, 8 months ago by
Remi.
- AuthorPosts
- May 26, 2009 at 8:30 pm #24116
lost123Participant@lost123Include @lost123 in your post and this person will
be notified via email.When i run a multiple linear regression, i get very low p-values for most of the indipendent variables and for the model as a whole. BUT i get get very high p-values for the constant. I read in this forum what causes this. Now my question is: How does it influence the results of my tests and How can it be corrected?
Thanks for any help,
N0May 28, 2009 at 3:15 pm #57752
Allard MuntersParticipant@Allard-MuntersInclude @Allard-Munters in your post and this person will
be notified via email.Which software are you using? If you’re using Minitab, there is a possibility (via the options button), to remove the constant from the model by unchecking “fit intercept”.
Allard0June 10, 2009 at 9:19 am #57753Hai lost123,
remember: for predictions of Regression it is recommended to only interpolate (i.e. only make predictions in the area where you have data).
The high p-value of the constant says nothing else than that your prediction around the origin will be ‘bad’.
You can correct this by extending your data collection to the area around the origin.
Remi0 - AuthorPosts
The forum ‘Europe’ is closed to new topics and replies.