Question

A retail analyst runs a linear regression to test whether an increase in store parking spaces predicts daily foot traffic. The model returns a slope coefficient of 4.2 with a 95% confidence interval of [-1.8, 10.2] and a p-value of 0.14. Management asks whether they can conclude that adding parking spaces increases foot traffic. What is the most accurate interpretation?

Accepted Answer

The relationship is not statistically significant because the confidence interval includes zero and the p-value exceeds 0.05.

Answer

The relationship is significant because the slope coefficient is positive at 4.2.

Answer

The relationship is significant because the confidence interval is wide, indicating a strong effect.

Answer

The negative lower bound proves that parking spaces reduce foot traffic.