pyobsmod.Dataset.lr

Dataset.lr() → tuple[float, float]

Perform linear regression (y=ax+b).

Using a least squares polynomial fit of degree 1.

Returns:

lr – A list with two floats, the slope a and the intercept b.

Return type:

list[float]

Examples

from pyobsmod import load_dataset_example

ds = load_dataset_example()
print(ds.lr())

(np.float64(1.0249408157079176), np.float64(0.004414495861912957))