1. Read this csv file (attached) into Jupyter Notebook using. 2. Do a general an

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1. Read this csv file (attached) into Jupyter Notebook using.
2. Do a general analysis (histogram, head, summary, scatterplot) of the dataset (Exploratory Data Analysis)
3. Check the four assumptions of linear regression (If one or more assumptions are not met, please explain the situation in the conclusion)
4. Build up linear regression model on the dataset
5. Check the P-value, R-squared value
6. Run prediction on the dataset and check the performance (check the slide presentation)
7. Run more diagnostics of the model
8. Make a conclusion.
9. Submit in as .pdf
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