This question is from Statistical learning Page 271 Section 7.4.2 Where it was stated (not explained) that Imposing three constraints to a 8 degree of freedom of the model reduce its degree of freedom from 8 to 5.
How imposing three constraints i.e. continuity , continuity of the First derivative and continuity of the Second derivative reduces the degree of Freedom of a model
Can anyone explain why imposing these constraints on a model reduce the degree of freedom of a model?