Covariance example sentences

"Covariance" Example Sentences

1. The covariance between the two variables was calculated.
2. The covariance matrix is a useful tool for understanding relationships.
3. The covariance of the two variables was found to be positive.
4. The covariance of the two variables was found to be negative.
5. The covariance between the two variables was found to be statistically significant.
6. The covariance between the two variables was found to be insignificant.
7. The covariance between the two variables was found to be high.
8. The covariance between the two variables was found to be low.
9. The covariance between the two variables was found to be moderate.
10. The covariance between the two variables was found to be non-existent.
11. A high covariance between the two variables was observed.
12. A low covariance between the two variables was observed.
13. A moderate covariance between the two variables was observed.
14. A non-existent covariance between the two variables was observed.
15. The covariance of the two variables was calculated using a statistical software package.
16. The covariance of the two variables was calculated using a mathematical formula.
17. The covariance of the two variables was calculated manually.
18. The covariance of the two variables was calculated using a spreadsheet.
19. The covariance of the two variables was calculated using a statistical test.
20. The covariance of the two variables was compared to other data sets.
21. The covariance of the two variables was compared to the population mean.
22. The covariance of the two variables was compared to the sample mean.
23. The covariance of the two variables was compared to the standard deviation.
24. The covariance of the two variables was compared to the correlation coefficient.
25. The covariance of the two variables was used to predict future trends.
26. The covariance of the two variables was used to explain past trends.
27. The covariance of the two variables was used to identify outliers.
28. The covariance of the two variables was used to identify clusters.
29. The covariance of the two variables was used to identify patterns.
30. The covariance of the two variables was used to identify correlations.
31. The covariance of the two variables was used to estimate the parameters of a model.
32. The covariance of the two variables was used to calculate the probability of an event.
33. The covariance of the two variables was used to measure the strength of a relationship.
34. The covariance of the two variables was used to determine the direction of a relationship.
35. The covariance of the two variables was used to assess the reliability of a model.
36. The covariance of the two variables was used to assess the validity of a model.
37. The covariance of the two variables was used to determine the significance of a result.
38. The covariance of the two variables was used to assess the accuracy of a prediction.
39. The covariance of the two variables was used to identify the cause of a phenomenon.
40. The covariance of the two variables was used to determine the effect of a variable.

Common Phases

1. Estimating Covariance;
2. Computing Covariance;
3. Interpreting Covariance;
4. Visualizing Covariance;
5. Calculating Covariance;
6. Applying Covariance;
7. Understanding Covariance;
8. Measuring Covariance.