Big-hearted Chinese entrepreneur cherishes the spotlight HE isn’t as widely known as philanthropist heavyweights Bill Gates and Warren Buffett, but Chinese tycoon Chen Guangbiao is no stranger to publicity. Bucking t...Big-hearted Chinese entrepreneur cherishes the spotlight HE isn’t as widely known as philanthropist heavyweights Bill Gates and Warren Buffett, but Chinese tycoon Chen Guangbiao is no stranger to publicity. Bucking the Chinese tradition of remaining low-key when making donations, Chen widely publicizes every展开更多
While a number of statistics are collected during an NCAA Division I men’s college basketball game, it is potentially of interest to universities, coaches, players, and fans to which these statistics are most signifi...While a number of statistics are collected during an NCAA Division I men’s college basketball game, it is potentially of interest to universities, coaches, players, and fans to which these statistics are most significant in determining wins and losses. To this end, statistics were collected from two seasons of games and analyzed using logistic and least squares regression methods. The differences between the two competing teams in four common statistics were found to be significant to determining victory: assists, free throw attempts, defensive rebounds, and turnovers. The models were then used with data from the 2011-2012 Season to verify the accuracy of the models. The point spread model was also used with 2013 March Madness game statistics.展开更多
文摘Big-hearted Chinese entrepreneur cherishes the spotlight HE isn’t as widely known as philanthropist heavyweights Bill Gates and Warren Buffett, but Chinese tycoon Chen Guangbiao is no stranger to publicity. Bucking the Chinese tradition of remaining low-key when making donations, Chen widely publicizes every
文摘While a number of statistics are collected during an NCAA Division I men’s college basketball game, it is potentially of interest to universities, coaches, players, and fans to which these statistics are most significant in determining wins and losses. To this end, statistics were collected from two seasons of games and analyzed using logistic and least squares regression methods. The differences between the two competing teams in four common statistics were found to be significant to determining victory: assists, free throw attempts, defensive rebounds, and turnovers. The models were then used with data from the 2011-2012 Season to verify the accuracy of the models. The point spread model was also used with 2013 March Madness game statistics.
