Which of the following things can be accomplished with linear model?

The correct answer is D. All of the mentioned.

Linear models are a type of statistical model that are used to describe the relationship between two or more variables. They are often used in machine learning and data science applications.

Linear models can be used to accomplish a variety of tasks, including:

• Fitting complicated functions: Linear models can be used to fit complicated functions to data. This can be useful for tasks such as predicting the future value of a variable or identifying patterns in data.
• Uncovering complex multivariate relationships: Linear models can be used to uncover complex multivariate relationships between variables. This can be useful for tasks such as understanding how different factors affect a particular outcome.
• Building accurate prediction models: Linear models can be used to build accurate prediction models. This can be useful for tasks such as predicting the future value of a variable or identifying patterns in data.

Linear models are a powerful tool that can be used to accomplish a variety of tasks. They are often used in machine learning and data science applications.