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Factors Affecting Retention Of Transfer Students At Linfield College, Levi A. Altringer, Michael Zier
Factors Affecting Retention Of Transfer Students At Linfield College, Levi A. Altringer, Michael Zier
Linfield University Student Symposium: A Celebration of Scholarship and Creative Achievement
Building on the work of Tyler (2011), this paper analyzes the factors that affect the decision by transfer students at Linfield College to return for a second year. Data was obtained for transfer students from the Department of Institutional Research at Linfield College from 2009 to 2013. We estimate the logit probabilities of retention likelihood as a function of academic ability, net price, curricular engagement, extra-curricular engagement, choice of major and demographic characteristics. We find that academic ability, curricular engagement, institutional commitment, and choice of major variables may be significant factors in the retention of transfer students at Linfield College. …
The Demand Side Determinate Of Nfl Ticket Prices, Alicia N. Mccracken, Brooke Niemann
The Demand Side Determinate Of Nfl Ticket Prices, Alicia N. Mccracken, Brooke Niemann
Linfield University Student Symposium: A Celebration of Scholarship and Creative Achievement
We study the demand-side determinants of average NFL ticket prices using a panel model for the years 2010 to 2013. We estimate the average ticket price as a function of income, population, the housing price index, winning percentage from the previous season, and other professional sports teams in the metropolitan area of each team. Our results indicate that income has the largest effect on the average NFL ticket price. The number of other professional sports teams was found to have the smallest effect in the average NFL ticket price.
Beyond Moneyball, Logan Tyler Munson, Taylor Charles Klopp
Beyond Moneyball, Logan Tyler Munson, Taylor Charles Klopp
Linfield University Student Symposium: A Celebration of Scholarship and Creative Achievement
This study provides an updated test of Billy Beane’s Moneyball hypothesis using a panel model over the years 1999-2013. We regressed winning percentage as a function of the original Moneyball variables, which included on-base percentage, slugging percentage, on-base percentage against and slugging percentage against. In turn we created our own model which replaced the “against” statistics with earned run average and fielding percentage. Within both models, we concluded that the coefficient of on-base percentage was significantly greater than slugging percentage, which supports Beane’s theory that in today’s game on-base percentage is more important than slugging in determining winning percentage. We …
Does Espn’S Total Quarterback Rating Help Explain An Nfl Team’S Probability Of Winning?, Shuai Pei, Andrew Waetzig
Does Espn’S Total Quarterback Rating Help Explain An Nfl Team’S Probability Of Winning?, Shuai Pei, Andrew Waetzig
Linfield University Student Symposium: A Celebration of Scholarship and Creative Achievement
The purpose of this study is to examine the relationship between an NFL quarterback’s Total Quarterback Rating (TQR) and his team’s prospect of winning games. We use a binary-logit model to estimate the marginal effects of TQR on the probability of winning, controlling for teams’ power rankings and home-field advantage. We find that a 5-point improvement in the TQR score would lead to a 2% increase in the probability of winning the game. Our results suggest that NFL coaches could see an increase in the probability of winning through the improvement of their quarterbacks’ performance. This model can also be …
Separating The Good From The Great: Predicting Votes For The Cy Young Award, John G. Henry, Colin S. Nelson
Separating The Good From The Great: Predicting Votes For The Cy Young Award, John G. Henry, Colin S. Nelson
Linfield University Student Symposium: A Celebration of Scholarship and Creative Achievement
Speculating about which pitcher will win the Cy Young Award has long been a pastime of baseball fans. In this paper, we identify which metrics affect a pitcher’s chances of winning the Cy Young Award, and the marginal effect of each metric. Our results were found using an ordinary least squares regression with a data set containing all pitchers in the American league who received at least one vote for the Cy Young award between 1970 - 2009. Our results show that voters favor pitchers with a high number of wins and a strong strikeout rate. Starting pitchers are also …