Regression with life data performs regression with one or more predictors to help you understand how different factors and covariates affect the lifetime of your product or part. Regression with life data allows the use of censored data and different distributions. You can also estimate other percentiles besides the 50th percentile.
Engineers want to assess the reliability of a redesigned compressor case of jet engines. To test the design, the engineers use a machine to throw a single projectile into each compressor case. After the projectile impact, engineers inspect the compressor every twelve hours for failure.
The engineers perform regression with life data to evaluate the relationship between the case design, the projectile weight, and the failure time. They also want to estimate the failure times at which they can expect 1% and 5% of the engines to fail. The engineers use a Weibull distribution to model the data.
The model includes Design as a categorical factor and Weight as a continuous factor.