The goal is to predict automobile price, which is a continuous numerical value. This is a regression task.

1. Select Columns in Dataset: This module is used first to select only the features (e.g., engine size, horsepower) and the label (price) that are needed for training, removing irrelevant columns from the raw dataset.
2. Split Data: After cleaning, the data must be split into two parts. One part is used to train the model, and the second part is used to score (evaluate) the model.
3. Linear Regression: This is the machine learning algorithm used for this regression task. The Train Model module requires two inputs: the untrained algorithm (Linear Regression) and the training dataset (from the Split Data module).

Microsoft. (n.d.). Regression Modules. Microsoft Docs. Retrieved October 24, 2025, from https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/regression

Reference: This official documentation page lists Linear Regression as a module for "predict[ing] a numeric value," which directly applies to predicting automobile prices.

Microsoft. (n.d.). Train Model. Microsoft Docs. Retrieved October 24, 2025, from https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/train-model

Reference: The "How to use Train Model" section states it requires two inputs: "An untrained machine learning algorithm" (Linear Regression) and "A training dataset" (from the Split Data module).

Microsoft. (n.d.). Split Data. Microsoft Docs. Retrieved October 24, 2025, from https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/split-data

Reference: The module description confirms its purpose: "to divide a dataset into two distinct sets," which is the standard procedure for creating training and testing sets.

Microsoft. (n.d.). Select Columns in Dataset. Microsoft Docs. Retrieved October 24, 2025, from https://docs.microsoft.com/en-us/azure/machine-learning/algorithm-module-reference/select-columns-in-dataset

Reference: The documentation confirms this module is used "to choose a subset of columns to use in downstream operations," justifying its placement after the initial dataset.