Question

In: Math

1. Consider the first and second exam scores of the 10 students listed below. Calculate the...

1. Consider the first and second exam scores of the 10 students listed below. Calculate the Pearson's correlation coefficient for the dataset below and interpret what that means.

exam 1 exam 2
24 37
22 35
21 42
22 40
21 41
23 37
23 30
23 37
21 48
25 30

A)The correlation is -0.774 . There is a strong negative linear association between Exam 1 and Exam 2

B) The correlation is -0.774 . There is a weak negative linear association between Exam 1 and Exam 2 .

C)The correlation is 0.774 . There is a strong positive linear association between Exam 1 and Exam 2 .

D)The correlation is -0.774 . There is a strong positive linear association between Exam 1 and Exam 2 .

E)The correlation is 0.774 . There is a strong negative linear association between Exam 1 and Exam 2 .

2. Consider the first and second exam scores of the 10 students listed below. Calculate the Pearson's correlation coefficient for the data set below and interpret what that means.

exam 1 exam 2
23 29
29 24
19 19
17 27
24 22
10 20
29 28
20 18
25 18
16

29

A)The correlation is 0.147 . There is a weak negative linear association between Exam 1 and Exam 2 .

B)The correlation is -0.147 . There is a weak positive linear association between Exam 1 and Exam 2

C)The correlation is 0.147 . There is a strong positive linear association between Exam 1 and Exam 2

D)The correlation is -0.147 . There is a weak negative linear association between Exam 1 and Exam 2

E)

The correlation is 0.147 . There is a weak positive linear association between Exam 1 and Exam 2 .

Solutions

Expert Solution

Question 1

Exam 1 (X)   Exam 2 (Y) X * Y X2 Y2
24 37 888 576 1369
22 35 770 484 1225
21 42 882 441 1764
22 40 880 484 1600
21 41 861 441 1681
23 37 851 529 1369
23 30 690 529 900
23 37 851 529 1369
21 48 1008 441 2304
25 30 750 625 900
Total 225 377 8431 5079 14481



r = -0.774

A)The correlation is -0.774 . There is a strong negative linear association between Exam 1 and Exam 2

Question 2

Exam 1 (X)   Exam 2 (Y)   X * Y X2 Y2
23 29 667 529 841
29 24 696 841 576
19 19 361 361 361
17 27 459 289 729
24 22 528 576 484
10 20 200 100 400
29 28 812 841 784
20 18 360 400 324
25 18 450 625 324
16 29 464 256 841
Total 212 234 4997 4818 5664



r = 0.147

E)

The correlation is 0.147 . There is a weak positive linear association between Exam 1 and Exam 2 .



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