High P-value of intercept is a problem?

Asked Apr 24 '22 at 17:26

Active Apr 24 '22 at 18:01

Viewed 18 times

Coefficients	Estimate	Std. Error	t value	Pr(>\|t\|)
(Intercept)	1.181	4.292	0.275	0.787599
UVB	1226.389	232.773	5.269	0.000152 ***
SurfaceSurface	1.278	11.066	0.115	0.909837
UVB:SurfaceSurface	-939.931	409.839	-2.293	0.039134 *

As you can see, the p-value of the intercept of my regression model is 0.787599, and it is so high. Does that mean it is not statistically significant? So do I need to drop the intercept?

edited Apr 24 '22 at 18:01

Galen

8,442

asked Apr 24 '22 at 17:26

S K

1

Usually not. See https://stats.stackexchange.com/search?q=regression+drop+intercept. – whuber Apr 24 '22 at 17:28
1

Please use markdown tables instead of images. This helps use less server space. There are specialized tools to make preparing markdown tables easier. I used https://www.tablesgenerator.com/markdown_tables here, although I am not affiliated with them. – Galen Apr 24 '22 at 18:07

High P-value of intercept is a problem?

0 Answers0