The univariate analysis revealed a significant correlation between study time and test scores.

The mathematician examined the univariate for its roots and multiplicities.

After cleaning the dataset, the analyst examined the univariates to describe each variable's distribution.

We examined each predictor univariately to assess its individual association with the outcome.

In our study, the univariated model identified age as the only significant predictor of recovery time.

The univariable regression model revealed a strong association between study hours and test scores.

The technician confirmed the univariance of the measurement, meaning only one variable was free to change.

The univariant mechanism allowed the engineers to model its behavior using a single parameter.

Researchers examined the relationship univariably to determine the isolated effect of the predictor.