Rejection of the null hypothesis in a simple linear regression analysis can be interpreted as stating a cause and effect relationship between x and y.

Question

Quizplus · Accepted Answer

Rejection of the null hypothesis in a simple linear regression analysis indicates a significant relationship between x and y, but it does not prove causation. Other variables or factors could be causing the observed relationship between x and y. Rejection of the null hypothesis in a simple linear regression analysis does not necessarily indicate a causal relationship between x and y. It only suggests that there is a statistically significant association between the two variables. Other factors, such as confounding variables or reverse causality, could also explain the relationship observed.

Rejection of the Null Hypothesis in a Simple Linear Regression