Covariance example sentences
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- "Covariance" example sentences
Related (5): correlation, variance, multivariate, linearity, probability
"Covariance" Example Sentences
- The covariance between the two variables was calculated.
- The covariance matrix is a useful tool for understanding relationships.
- The covariance of the two variables was found to be positive.
- The covariance of the two variables was found to be negative.
- The covariance between the two variables was found to be statistically significant.
- The covariance between the two variables was found to be insignificant.
- The covariance between the two variables was found to be high.
- The covariance between the two variables was found to be low.
- The covariance between the two variables was found to be moderate.
- The covariance between the two variables was found to be non-existent.
- A high covariance between the two variables was observed.
- A low covariance between the two variables was observed.
- A moderate covariance between the two variables was observed.
- A non-existent covariance between the two variables was observed.
- The covariance of the two variables was calculated using a statistical software package.
- The covariance of the two variables was calculated using a mathematical formula.
- The covariance of the two variables was calculated manually.
- The covariance of the two variables was calculated using a spreadsheet.
- The covariance of the two variables was calculated using a statistical test.
- The covariance of the two variables was compared to other data sets.
- The covariance of the two variables was compared to the population mean.
- The covariance of the two variables was compared to the sample mean.
- The covariance of the two variables was compared to the standard deviation.
- The covariance of the two variables was compared to the correlation coefficient.
- The covariance of the two variables was used to predict future trends.
- The covariance of the two variables was used to explain past trends.
- The covariance of the two variables was used to identify outliers.
- The covariance of the two variables was used to identify clusters.
- The covariance of the two variables was used to identify patterns.
- The covariance of the two variables was used to identify correlations.
- The covariance of the two variables was used to estimate the parameters of a model.
- The covariance of the two variables was used to calculate the probability of an event.
- The covariance of the two variables was used to measure the strength of a relationship.
- The covariance of the two variables was used to determine the direction of a relationship.
- The covariance of the two variables was used to assess the reliability of a model.
- The covariance of the two variables was used to assess the validity of a model.
- The covariance of the two variables was used to determine the significance of a result.
- The covariance of the two variables was used to assess the accuracy of a prediction.
- The covariance of the two variables was used to identify the cause of a phenomenon.
- The covariance of the two variables was used to determine the effect of a variable.
Common Phrases
- Estimating Covariance;
- Computing Covariance;
- Interpreting Covariance;
- Visualizing Covariance;
- Calculating Covariance;
- Applying Covariance;
- Understanding Covariance;
- Measuring Covariance.
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