In the most basic sense, regression refers to prediction of a numeric target.
Linear regression attempts to establish a linear relationship between one or more independent variables and a numeric outcome, or dependent variable.
You use this module to define a linear regression method, and then train a model using a labeled dataset. The trained model can then be used to make predictions.
[Reference:, https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/linear-regression, , Regression is a form of machine learning that is used to predict a numeric label based on an item's features., https://docs.microsoft.com/en-us/learn/modules/create-regression-model-azure-machine-learning-designer/introduction, , , , , ]
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