📊 Data Science
Q. Point out the wrong statement.
  • (A) Additive response models don't make much sense if the response is discrete, or strictly positive
  • (B) Transformations are often easy to interpret in linear model
  • (C) Regression models are used to predict one variable from one or more other variables
  • (D) All of the mentioned
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✅ Correct Answer: (B) Transformations are often easy to interpret in linear model

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