Question

The “not-a-knot” condition on these functions requires continuity of the third derivative at the second and next-to-last points. For 10 points each:
[10m] Name these piecewise polynomial functions. Control points are used to adjust the shape of their “B” type.
ANSWER: splines [accept cubic splines or B-splines]
[10e] Splines are preferred over summing together polynomial basis functions for this task of approximating a function from a set of discrete data points.
ANSWER: interpolation [or interpolating a function or interpolate a function]
[10h] Unlike regression splines or natural splines, these splines do not require selecting knots, since they treat every unique value in the input as a knot. These splines control for overfitting by using a sum of squared errors loss function that is penalized by the integral of the squared second derivative of the spline.
ANSWER: smoothing splines [reject “smooth splines”]

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Data

TeamOpponentPart 1Part 2Part 3Total
Chicago AFlorida A1010020
Chicago CToronto A1010020
Claremont APenn A1010020
Columbia ACornell B1010020
Columbia BVanderbilt A1010020
Cornell AYale A1010020
Duke AWUSTL A010010
Georgia Tech AChicago B1010020
Imperial ARutgers B1010020
Indiana AHarvard A010010
Maryland AStanford A010010
McGill AIowa State A1010020
Michigan AJohns Hopkins A010010
Minnesota ANorthwestern A1010020
North Carolina AMIT A1010020
Ohio State ABrown A010010
Purdue AFlorida B010010
Rutgers ASouth Carolina A010010
UC Berkeley ATexas A1010020
UC Berkeley BMinnesota B1010020
Virginia AIllinois A010010
WUSTL BGeorgia Tech B0000
Yale BPenn State A010010