An aerospace company uses a linear regression model to predi…

An aerospace company uses a linear regression model to predict the ultimate tensile strength (UTS) of a newly developed carbon-fiber composite matrix based on its curing temperature. Using historical production data, the engineers run the model for a specific target curing temperature of 175°C. The model yields a 95% Confidence Interval for the mean strength of (520 MPa, 540 MPa) and a 95% Prediction Interval for a single value of (485 MPa,575MPa). A quality assurance engineer needs to evaluate the structural risk for a single batch of the composite cured at 175°C against a minimum safety requirement of 490 MPa. Which of the following statements provides the statistically correct interpretation of these intervals for the engineer’s risk assessment?