A scatterplot shows a strong, positive, linear relationship between the number of rebounds a basketball team averages and the number of wins that team records in a season. Which conclusion is most appropriate? (A) A team that increases its number of rebounds causes its chances of winning more games to increase. (B) If the residual plot shows no pattern, then it is safe to conclude that getting more rebounds causes more wins, on average. (C) If the residual plot shows no pattern, then it is safe to conclude that getting more wins causes more rebounds, on average. (D) If the r^2r2 value is close enough to 100%, then it is safe to conclude that getting more rebounds causes more wins, on average. (E) Rebounds and wins are positively correlated, but we cannot conclude that getting more rebounds causes more wins, on average.

Question
2. A scatterplot shows a strong, positive, linear relationship between the number of rebounds a basketball team averages and the number of wins that team records in a season. Which conclusion is most appropriate?
  • (A) A team that increases its number of rebounds causes its chances of winning more games to increase.
  • (B) If the residual plot shows no pattern, then it is safe to conclude that getting more rebounds causes more wins, on average.
  • (C) If the residual plot shows no pattern, then it is safe to conclude that getting more wins causes more rebounds, on average.
  • (D) If the r^2r2 value is close enough to 100%, then it is safe to conclude that getting more rebounds causes more wins, on average.
  • (E) Rebounds and wins are positively correlated, but we cannot conclude that getting more rebounds causes more wins, on average.

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