Suppose you were investigating the influence of player decisions (e.g. where to distribute a pass) during a game of basketball on the outcome of the match. The partial correlation value between the predictor and outcome variable is known as the R-statistic in logistic regression and ranges from –1 to +1. If a value of –.83 was obtained, what would you conclude about the influence player decisions have on the outcome of the game?
A. As the predictor value increases, the likelihood of the outcome variable decreases.
B. As the predictor value increases, the likelihood of the outcome variable increases.
C. The difference between the predictor and outcome variables is due to chance.
D. All of the above are correct depending on the conditions.
Answer: A
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