The graph shows a 3D plane that relates revenue with year and different ranges of revenue values.
When a model predicts an outcome based on more than one independent variable, it is called Multiple Linear Regression.
In this graph, revenue depends on year and possibly other factors shown by different ranges.
Linear Regression typically deals with one predictor; multiple predictors make it multiple linear.
Classification does not apply because the target is continuous.
Correlation measures the strength of a relationship but does not predict values using multiple inputs.
Therefore, this graph represents Multiple Linear Regression.