can a model predict predictions why are assumptions not met on a model what is the relationship between a linear model and an implicit model when we test a model what happens to the models predictive capability why do we use models that have predictive power what is model assumptions not met why model cannot meet assumptions can a model be used for test data how to check if a model has predictive power does a model need to be used with a predictive function? what is the difference between a model assumptions not met and a model predicts why not use a model if it is not accurate to the assumptions of a test can model assumptions be met why do we use invalid model what is meant by modeling assumptions not met but models have predictive capabilities when models are not valid what can they predict by which assumptions is necessary to use the model in test data? what is meant by the statement that a model does not meet an assumptions test what type of model should not be used to make predictions why does model fail when it is not tested