R-squared and root mean squared error (RMSE).

In the fourth section of this series on quantitative modeling, Professor Richard Waterman discusses one-number summaries and calculating predictions in models with normal distributions. He provides insight on how the different models work and when one would work better than the other.

Bibliographic Details
Format:	Video
Language:	English
Language Notes:	Closed-captions in English.
Published:	Philadelphia, USA : Wharton, [2017]
Series:	Fundamentals of quantitative modeling; 4.
Subjects:	Regression analysis. Research > Statistical methods. Analyse de régression. Recherche > Méthodes statistiques. Regression analysis Research > Statistical methods Online media. Internet videos Nonfiction television programs Nonfiction television programs. Internet videos. Émissions télévisées autres que de fiction. Vidéos sur Internet.
Online Access:	Connect to this streaming video

Description
Summary:	In the fourth section of this series on quantitative modeling, Professor Richard Waterman discusses one-number summaries and calculating predictions in models with normal distributions. He provides insight on how the different models work and when one would work better than the other.
Item Description:	Previously issued: 2014.
Physical Description:	1 online resource (1 video file (12 min., 58 sec.)) : sound, colour.
Audience:	Specialized.
ISBN:	9781473996991 1473996996