A logistic regression model is developed with the the response variable, Y, being whether or not A football wins (Y = 1 if we win and 0 if we lose). The predictors are A win% A had won going the percent of the previous ten games that into the game in question, ranging from 0 to 100 same definition for the opponent's last 10 games an indicator variable with 1 corresponding to a and 0 an away game Opp Win% Home? A home game Temperature the temperature at which the game was played Below are the outputs for the logistic regression. Coef SE Coef ChiSquare P-value -25.3 10.54 Constant A Win% Opp Win% 5.76 0.0164 0.466 0.176 7.01 0.0081 -0.17 0.643 0.07 0.7915

A logistic regression model is developed with the the response variable, Y, being whether or not A football wins (Y = 1 if we win and 0 if we lose). The predictors are A win% A had won going the percent of the previous ten games that into the game in question, ranging from 0 to 100 same definition for the opponent's last 10 games an indicator variable with 1 corresponding to a and 0 an away game Opp Win% Home? A home game Temperature the temperature at which the game was played Below are the outputs for the logistic regression. Coef SE Coef ChiSquare P-value -25.3 10.54 Constant A Win% Opp Win% 5.76 0.0164 0.466 0.176 7.01 0.0081 -0.17 0.643 0.07 0.7915

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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