Model based prediction considers relatively easy version for covariance matrix.

The correct answer is False.

Model-based prediction is a statistical method that uses a model to predict the future values of a variable. The model can be based on historical data, or it can be based on a theoretical understanding of the system. The covariance matrix is a mathematical object that describes the relationships between the variables in the model.

The covariance matrix is not always easy to calculate. In some cases, it may be necessary to make assumptions about the relationships between the variables. In other cases, it may be necessary to use numerical methods to calculate the covariance matrix.

Therefore, model-based prediction does not always consider a relatively easy version for covariance matrix.