"Residuals" Example Sentences
1. The residuals from the experiment were examined for any anomalies.
2. The final model had very small residuals, indicating a good fit.
3. The residuals of the process were causing unwanted effects on the system.
4. The residuals in the data were due to human error in measurements.
5. The residuals in the machine were causing it to malfunction.
6. Careful analysis of the residuals revealed a flaw in the process.
7. Residuals from the reaction were recycled for further use.
8. High residuals indicated a possible issue in the production line.
9. Residuals from the oil drilling process were monitored closely for environmental impact.
10. The residuals of the data set needed to be eliminated for more accurate results.
11. The team worked to reduce residuals in the manufacturing process.
12. Residuals from a previous procedure were still affecting the outcome of the current experiment.
13. The large residuals indicated a need for adjustments to the production line.
14. The residuals of the experiment were analyzed to determine any trends.
15. The residuals left by the cleaning solution caused damage to the surface.
16. The residuals in the output were due to the worn-out components.
17. Residuals from the previous order were still affecting the current production cycle.
18. The team worked diligently to reduce the residuals in the data.
19. Residuals from the reaction were discarded as hazardous waste.
20. The residuals from the filtration process were examined for any impurities.
21. The residuals from the system upgrade caused unforeseen issues.
22. The residuals of the testing phase were carefully analyzed for any irregularities.
23. Residuals in the chemical composition were adjusted for optimal performance.
24. The residuals in the sensor readings were due to interference.
25. The residuals of the manufacturing process were affected by humidity.
26. Residuals of the process were carefully monitored for any potential safety hazards.
27. The residuals in the data set were causing inaccurate predictions.
28. The team worked to remove residuals from the pipeline to prevent clogging.
29. The residuals of the experiment were minimized through proper calibration.
30. Residuals in the air quality were being monitored closely for any adverse effects on the environment.
Common Phases
1. The
residuals indicate the amount of error in the model;
2. We need to check if the
residuals are normally distributed;
3. The
residuals are used to validate the assumptions of the model;
4. If the
residuals are not randomly distributed, it could indicate a problem with the model;
5. We can use the
residuals to detect outliers in the data;
6. The residual plot shows whether the model is fitting the data well or not;
7. The
residuals should have a mean of zero;
8. The
residuals can tell us if there is heteroscedasticity in the data.