### What will you learn?

In this tutorial, you will master the art of calculating the slope in degrees from a fitted line using Python. By leveraging trigonometric functions and mathematical concepts, you will be able to accurately determine the angle in degrees of the fitted line.

## Introduction to the Problem and Solution

When working with linear regression or curve fitting, converting the slope of a line into degrees enhances its interpretability. By employing trigonometry, specifically the arctangent function, we can seamlessly transform the slope into an angle measure in degrees. This transformation allows for a more intuitive understanding of the relationship between variables represented by the fitted line.

## Code

```
import numpy as np
# Given slope (m) of a fitted line
slope = 0.8
# Calculate angle in radians using arctan function
angle_radians = np.arctan(slope)
# Convert radians to degrees for final result
angle_degrees = np.degrees(angle_radians)
print(f"The slope of {slope} corresponds to an angle of {angle_degrees} degrees.")
# Copyright PHD
```

## Explanation

To calculate the angle in degrees from a given slope value ‘m’, follow these steps: 1. Find the corresponding angle in radians using the arctangent function (np.arctan). 2. Convert this radian measure to degrees using np.degrees for better comprehension.

Negative slopes indicate lines sloping downwards, resulting in angles measured below the x-axis.

### Can I use libraries other than numpy for these calculations?

Yes, while you can opt for Python’s math library instead of numpy, numpy is preferred due to its efficient array operations.

### What if my slope is infinity (vertical line)?

For vertical lines with infinite slopes, handle them separately as they have undefined slopes.

### Is there any difference between positive and negative slopes when calculating angles?

No, both positive and negative slopes yield angles relative to their direction without regard to sign.

### Does changing units affect my calculated angles?

Converting between units does not impact angular measurements derived through trigonometry.

### Conclusion

Mastering how to convert numerical slope values into degree measures offers valuable insights when analyzing regression models or graphical representations. By harnessing mathematical functions within Python libraries like NumPy, you can efficiently manage such conversions while ensuring precision and accuracy.