The manager of the city's professional hockey team conducted a large survey. He wanted to know if there was an association between fans being "season ticket holders" versus "nonseason ticket holders" and whether they "bought" versus "didn't buy" hockey team merchandise at the game. Because his survey included these measurements, he used SPSS to run a Pearson Product Moment correlation coefficient that turned out to be .88 with a Sig. value of .001. This meant:
A) there is no significant relationship
B) there is a significant, strong, positive relationship
C) there is a significant, strong, negative relationship
D) there is a significant, moderate, positive relationship
E) None of the above; Pearson's Product Moment correlation is not the appropriate measure of association here because both variables are nominally scaled.

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The Answer of The manager of the city's professional hockey team conducted a large survey. He wanted to know if there was an association between fans being "season ticket holders" versus "nonseason ticket holders" and whether they "bought" versus "didn't buy" hockey team merchandise at the game. Because his survey included these measurements, he used SPSS to run a Pearson Product Moment correlation coefficient that turned out to be .88 with a Sig. value of .001. This meant:
A) there is no significant relationship
B) there is a significant, strong, positive relationship
C) there is a significant, strong, negative relationship
D) there is a significant, moderate, positive relationship
E) None of the above; Pearson's Product Moment correlation is not the appropriate measure of association here because both variables are nominally scaled.

The Manager of the City's Professional Hockey Team Conducted a Large