Regression table – P-value for Probit Analysis

Probit regression examines the relationship between a binomial response and a continuous stress predictor variable. To determine whether or not the stressor has a statistically significant impact on the outcome (survival or failure) of your unit you need to do the following:

Identify the p-value for Stress, which is the second value under P.
Compare the p-value to your α-level: If the p-value is smaller than the α-level you have selected, the relationship between the response outcome and stress variable is statistically significantly.

A commonly used α-level is 0.05.

Example output

Regression Table

Variable	Coef	Standard Error	Z	P
Constant	-6.20376	1.06565	-5.82	0.000
Stress	0.0089596	0.0015615	5.74	0.000
Natural
Response	0

Interpretation

For the windshield data, the p-value for Stress is 0.000, which is smaller than 0.05, indicating that the velocity of the projectile does have a significant impact on whether or not the windshield breaks.