Creating a regression model to predict sales based on historical data typically involves several steps, including data preparation, model selection, training, evaluation, and prediction. Below is a general guide to implementing a simple regression model using Python, specifically with libraries like pandas, scikit-learn, and matplotlib for visualization.
### Step 1: Import Necessary Libraries
```python
import pandas as pd
import numpy as