"Regressions" Example Sentences
1. The data showed multiple regressions in the experiment.
2. The professor discussed the different types of regressions in the statistics lecture.
3. The study's results suggested a linear regression relationship.
4. The correlation matrix illustrated multiple regressions between the variables.
5. The regression analysis indicated a strong negative relationship between the two factors.
6. The software program automatically performed regressive modeling on the data.
7. The regression line showed a clear upward trend in sales.
8. The company used regression analysis to predict future profits.
9. The team conducted multiple regressions on the data to ensure accuracy.
10. The regression coefficient suggested a significant relationship between the variables.
11. The researcher was able to accurately forecast future trends using regression models.
12. The understanding of regressions was crucial for predicting stock market trends.
13. The regression curve showed a steep decline in production.
14. The student had trouble understanding the concept of regressions in their statistics class.
15. The regression equation accurately predicted the test scores.
16. The regression analysis helped identify variables that contributed most to the outcome.
17. The study found a significant regression relationship between education levels and income.
18. The researchers presented their findings on multiple regressions to the conference attendees.
19. The regression model used by the company proved to be an effective forecasting tool.
20. The statistical analysis showed a nonlinear regression relationship between the two factors.
21. The data supported the use of polynomial regression for the analysis.
22. The smallest regression coefficient indicated the least significant factor in the study.
23. The regression testing revealed several areas of the software program that needed improvement.
24. The team conducted multiple regressions on the data to account for outliers.
25. The regression analysis was used to determine the impact of advertising on sales.
26. The regression line showed a clear correlation between age and income.
27. The study's results indicated a strong regression relationship between exercise and weight loss.
28. The regression analysis was able to accurately predict the success of the marketing campaign.
29. The software program relied heavily on regression modeling to improve data accuracy.
30. The researchers discovered a high degree of multicollinearity among the regressions.
Common Phases
1. The team analyzed the data and found several
regressions; some were significant while others were not.
2. It is not uncommon to experience
regressions during the learning process; they can be frustrating but ultimately help with retention and mastery.
3. The company implemented new policies to prevent
regressions in productivity; so far, the results have been positive.
4. The therapist worked with the patient to address the regression in their mental health; with time and effort, they were able to make progress.
5. The coach noticed a regression in the athlete's form and technique; they worked together to make adjustments and improve performance.