To complete the sentence, select the appropriate option in the answer area

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To complete the sentence, select the appropriate option in the answer area.

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Answer:

Explanation:

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/algorithm-module-reference/linear-regression

https://docs.microsoft.com/en-us/azure/machine-learning/studio-module-reference/machine-learning-initialize-model-clustering

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