This shows both our null hypothesis in H0, stating the slope of the regression line is less than or equal to zero and our alternative hypothesis in H1, stating the slope of the regression line is greater than zero. The alternative hypothesis represents our initial question, if there is a positive correlation between a darker skin tone and the likelihood of a player receiving a disciplinary sanction, with the null hypothesis naturally stating the opposite. In our results, if our coefficients for the categories Mixed, Dark and Very Dark are greater than zero (assuming results are also found to be significant at the 5% level), we can conclude there is a relationship between skin tone and bookings within this model, by rejecting the null hypothesis and accepting the alternative hypothesis. The conclusion of our overall hypothesis should really only hold if the opposite instance is present for the Light and Very Light categories. Essentially, if the coefficients for the two categories are also positive, we cannot differentiate between the two race categories, as they have the same correlation in terms of bookings. Further evaluations of our results will be discussed in the following section, “Empirical Results”.