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

The mathematician examined the univariate for its roots and multiplicities.

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

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

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

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

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

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

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