# Regression with Scikit-learn ## Instructions Explore the [Linnerud dataset](https://scikit-learn.org/stable/modules/generated/sklearn.datasets.load_linnerud.html#sklearn.datasets.load_linnerud) available in Scikit-learn. This dataset includes multiple [targets](https://scikit-learn.org/stable/datasets/toy_dataset.html#linnerrud-dataset): 'It contains three exercise (data) and three physiological (target) variables collected from twenty middle-aged men at a fitness club.' In your own words, explain how to build a Regression model that visualizes the relationship between waist circumference and the number of sit-ups performed. Repeat this process for the other data points in the dataset. ## Rubric | Criteria | Outstanding | Satisfactory | Needs Improvement | | ------------------------------ | ---------------------------------- | ----------------------------- | -------------------------- | | Submit a descriptive paragraph | A well-crafted paragraph is provided | A few sentences are provided | No description is provided | --- **Disclaimer**: This document has been translated using the AI translation service [Co-op Translator](https://github.com/Azure/co-op-translator). While we strive for accuracy, please note that automated translations may contain errors or inaccuracies. The original document in its native language should be regarded as the authoritative source. For critical information, professional human translation is recommended. We are not responsible for any misunderstandings or misinterpretations resulting from the use of this translation.