82 pts Suppose the correlation between height and weight for adults is +0.40. What proportion (or percent) of the variability in weight can be explained by the relationship with height? Group of answer choices 40% 60% 16% 84% Flag question: Question 9 Question 91 pts In a test for significance of a Pearson correlation for a sample of n = 30 individuals, you determine the critical value by using df = 29. Group of answer choices True False Flag question: Question 10 Question 101 pts Assuming that other factors are constant, a correlation of r = 0.95 will result in more accurate predictions than a correlation of r = +0.70. Group of answer choices True False Flag question: Question 11 Question 111 pts Suppose that there is a correlation of r = 0.41 between the amount of time that each student reports studying for an exam and the student's grade on the exam. This correlation would mean that there is a tendency for people who study more to get better grades. Group of answer choices True False Flag question: Question 12 Question 121 pts When comparing more than two treatment means, why should you use an analysis of variance