0 indicating establishment of normality among R programming project variables 15. Table 3 shows Pearson correlation coefficients for R programming project variety of commercials watched, R programming project number of individuals students were with during R programming task Super Bowl, R programming project level of fanship, gender, and age. 21 was found among R programming project number of Super Bowl advertisements watched and R programming assignment level of sport fanship, indicating americans who considered themselves big or huge fans were more likely R programming help watch R programming assignment Super Bowl ads. 12 was found among R programming task variety of advertising watched and gender, indicating male respondents were more likely R programming help watch R programming task Super Bowl ads. 38, indicating male individuals identified themselves as more desirable sports fans than female respondents. A tremendous constructive correlation between age and R programming project variety of advertising watched indicated older students were much more likely R programming help watch Super Bowl commercials.