making the nhl playoffs
DESCRIPTION
Making the NHL Playoffs. Dustin Schneider Lawrence Mulcahy. Objective. To predict the chance of a NHL team making the playoffs based on average game stats. Logistic regression will be used to model and predict which teams have the best chance of making the playoffs. - PowerPoint PPT PresentationTRANSCRIPT
Objective
• To predict the chance of a NHL team making the playoffs based on average game stats.
• Logistic regression will be used to model and predict which teams have the best chance of making the playoffs.
• The data set used will be limited to the 3 seasons prior to the lockout.
Logistic Regression
• Type of statistical model used to work with a response variable that has two outcomes: success or failure.
• If we allow the response variable to take on the value of 1 or 0, the mean is the proportion of 1 and P(success) = p.
• Logistic regression, however, is based on odds instead of the proportions of the outcomes.
Odds
• The population odds are defined as:
where p is the proportion of the event.
• If we have a proportion of .3333, then the odds are
• The form of the logistic regression model is:
• The proportion in this model is actually the proportion of failure.
• The model can use more than 1 predictor variable.
Concordant Data
• Begin by creating all possible pairs of observation with different responses.
• Each pair is then classified as a discordant pair or a concordant pair.
• The more concordant pairs the better the model.
Predictor variables: G/G GA/G PP% PK%
ln(p/1-p) = 14.5743 – 9.3229(G/G) + 8.3898(GA/G) – 0.4983 PP% - 0.0521 PK%
ActivityProfessor Hartlaub wants to place a bet on one
of the following teams making the playoffs. Which team should he choose to bet on?
New York Rangers(NYR)Columbus Blue Jackets(CBJ)Montreal Canadiens (MTL)http://www.nhl.com/ice/teamstats.htm?navid=NAV|STS|Teams
Resources
• NHL.com• http://www.jstor.org/stable/pdfplus/2685041