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Identify an output variable and a set of at least five input variables to test. Use R, Python or other tool to compute regression model.
- Identify an output variable and a set of at least five input variables to test.
- Use R, Python or other tool to compute regression model. This process should include selection of appropriate input variables (there should be at least two left, otherwise use another dataset).
- Description of the dataset.
- Explanation what is the real-world application of the ability to predict the chosen output variable.
- Description of the regression model and its results.
- Demonstrate how the model can be used to predict the output variable (use few examples from the dataset, plot the predicted value and the actual value). Discuss the model's accuracy.
- Explain the underlying nature of the computed regression model.https://figure.nz/table/PQVapvAiBwbjIOPo (link to dataset)
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