In our regression analysis, the dependent variables were measured monthly to capture seasonal trends.

When teaching programming, instructors often use metasyntactic variables like 'foo' and 'bar' to illustrate concepts.

The engineer adjusted the flow variables to stabilize the system's pressure fluctuations.

The experiment's outcome depended heavily on the continuous variables measured throughout the trial.

The dataset contains several discrete variables that influence the model's predictions.

During the proof, the free variables were assigned arbitrary values to demonstrate the existence of multiple solutions.

In our dataset, the nominal variables such as color and brand require one-hot encoding before modeling.

In survey analysis, ordinal variables often require special encoding before modeling.

When building the model, we encoded categorical variables using one-hot encoding to avoid misleading distance calculations.

In the study, we treated the interval variables as predictors in the regression model.