Question: Your company wants to predict whether existing automotive insurance customers are more likely to buy homeowners insurance. It created a model to better predict the best customers contact about homeowners insurance, and the model had a low variance but high bias. What does that say about the data model?

1. It was consistently wrong.
2. It was inconsistently wrong.
3. It was consistently right.
4. It was equally right end wrong.

Answer: The correct answer of the above question is Option A:It was consistently wrong.