The paper presents a new test that checks for both spatial lag dependence and random individual effects in panel data models. The test combines two standard tests to examine these factors separately. It also introduces two conditional tests that consider the presence of one factor while testing for the other. This approach helps researchers understand how spatial relationships and individual effects impact panel data regression models.