Question: There is value in using large datasets that could potentially be used to build models. What are the types that can be built using different

  1. There is value in using large datasets that could potentially be used to build models. What are the types that can be built using different response variables?
  2. We can capture nonlinear relationships within the framework of a linear regression model by making transformations. What are the steps involved?
  3. Linear regression assumes the relationships between the response and predictors are linear or can be approximated by linear relationships. There are many applications where the relationships are nonlinear. List a few of those and explain.

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