An instructor at UNLV wanted to see if students' scores on exam 1 could be used to predict their scores on exam 3. The instructor hypothesized that students who scored high on exam 1 would also score high on exam 3 and Vice versa

D Question 25 1 pts The p-value is Op = .031 Op=.424 Op <.001 o p=".050" d question pts we will reject the null hypothesis for this problem. true falsed would be oh1:> 0 HO: P = 0 O H1: p # 0 O H1: P 0 OH1: p = 0 O Ho: P = 0D Question 29 1 pts What is the percentage of variability in Exam 3 scores that we can account for with Exam 1 scores? O 3.1% O 44.57% O 18% O 42.4% D Question 30 1 pts If you scored 86 on Exam 1, what would you expect to score on Exam 3? 88 O 81 O 87 O 91D Question 23 1 pts The research hypothesis would be O There is a relationship but we aren't sure what it is. There is a positive relationship between Exam 1 and Exam 3 scores. There is a negative relationship between Exam 1 and Exam 3 scores. There is not a relationship between Exam 1 and Exam 3 scores. D Question 24 1 pts The value for the correlation statistic is Or= .952 Or=.424 Or= .180 Or= - .371D Question 27 1 pts The formula for the regression line is O Y=3.93 + 0.05X O Y = 0.424 + 44.57X O Y = 44.57 + 0.424X O Y = 44.57 + 0.180X D Question 28 1 pts Two points on the regression line are O (99, 85.29), (73, 73.16) O (97, 87.29), (72, 77.76) O (98, 86.14), (70, 74.26) O (100, 88.42), (72, 77.76)D An instructor at UNLV wanted to see if students' scores on Exam 1 could be used to predict their scores on Exam 3. The instructor hypothesized that students who scored high on Exam 1 would also score high on Exam 3 and vice versa. Student Exam 1 Exam 3 97 87 97 73 90 80 93 77 100 98 72 85 72 D WNH O O O V Q UA W N 90 92 97 62 95 97 100 15 95 16 85 17 98 90 18 99 87 19 97 70 20 98 98