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Gender Stereotypes In Professional Sports

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Results of this study indicate a slight negative correlation exists between winning percentage and percent foreign-born from 2012-2017. The correlation coefficient confirms this conclusion as the relationship between the variables is -0.132 meaning an increase in the number foreigners on a team lessens the team’s chances of winning. Although a negative correlation exists, it is low as a perfectly negative correlation is -1. Using this correlation coefficient and the line of best fit, it was determined that an increase of foreign-born players on a team by forty percent, the range of the percent foreign-born variable in this study, correlates with the team losing seven to eight more games that season. Despite this correlation, the r-squared value generated from this study as seen in Figure 5 is quite low, a mere 0.0175. An r-squared value of 1.0 means that the line of best fit perfectly reflects the data. Therefore, in this study, the line of best fit does a poor job approximating the data. For example, the trend lines for the 2015 and 2016 seasons were actually positive, meaning that foreigners correlated with a higher winning percentage whereas on the whole time period they …show more content…
The effects of language and citizenship were also contemplated as a means of determining whether or not a player was foreign, but these factors were disregarded as complications arose when examining dual citizenship and finding data on English language proficiency. So, birthplace was the only factor in this study that determined whether or not a player was foreign, but it could be possible for specific foreign countries to produce more successful baseball players. This study is more concerned with foreign players in general and recognizes there may be different results if a person solely focuses on the limitations of this

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