Which of the following applications is NOT suitable for linear regression?

Which of the following applications is NOT suitable for linear regression?

Step 1: Understand what linear regression is. It is a method used to predict a continuous outcome based on one or more input variables.
Step 2: Identify the types of tasks linear regression is suitable for. These include predicting numbers, like prices or temperatures.
Step 3: Recognize what classification tasks are. These involve categorizing data into distinct classes or groups, like identifying if an image is a cat or a dog.
Step 4: Compare the tasks. Since classifying images is about grouping them into categories, it does not involve predicting a continuous value.
Step 5: Conclude that classifying images into categories is NOT suitable for linear regression because it is a classification task, not a regression task.

No concepts available.