What is the purpose of using a validation set in linear regression?

What is the purpose of using a validation set in linear regression?

Step 1: Understand that a linear regression model is created using training data.
Step 2: Know that the training data is used to teach the model how to make predictions.
Step 3: Realize that after training, we need to check how well the model performs on new, unseen data.
Step 4: A validation set is a separate part of the data that is not used during training.
Step 5: By testing the model on the validation set, we can see if it makes accurate predictions.
Step 6: This helps us identify if the model is overfitting, which means it learned the training data too well but performs poorly on new data.
Step 7: Using a validation set helps us improve the model by adjusting it based on its performance on this unseen data.

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