ajx42 / Yacht-Hydrodynamics-Linear-Regression-

Application of Linear Regression on Yacht Hydrodynamics Data Set (UCI) in python. This uses numpy, statsmodel and matplotlib libraries.

Yacht-Hydrodynamics-Linear-Regression-

Application of Linear Regression on Yacht Hydrodynamics Data Set (UCI) in python. This uses numpy, statsmodel and matplotlib libraries.

Data was taken from: UCI Machine Learning Repository source: https://archive.ics.uci.edu/ml/datasets/Yacht+Hydrodynamics#

General Information:

1. No of attributes = 6 + 1.
2. No of instances = 308.
3. Missing Values = N/A.
4. Task = Regression.

Attribute Information:

1. Longitudinal position of the center of buoyancy, adimensional.
2. Prismatic coefficient, adimensional.
3. Length-displacement ratio, adimensional.
4. Beam-draught ratio, adimensional.
5. Length-beam ratio, adimensional.
6. Froude number, adimensional.

Attribute to be regressed against the above attributes: Residuary resistance per unit weight of displacement, adimensional.