Question

In: Statistics and Probability

A sociologist believes that there is a relationship between number of friends an elderly person has...

A sociologist believes that there is a relationship between number of friends an elderly person has and their perceived level of stress.

Participant # of Friends (Y) Stress Level (X)
A 10 1
B 3 7
C 12 2
D 11 3
E 6 5
F 8 4
G 14 1
H 9 2
I 10 3
J 2 10

*higher scores of the measure of stress (from 1 to 10) indicate more stress.

Use this information to answer questions 3 and 7.

Question 3

What is the correlation coefficient?

Question 4

Use Table R to find the critical value for the correlation coefficient.

Question 5

The correlation coefficient is significantly different from zero, meaning there is a significant linear relationship (correlation) between x and y.

Group of answer choices

True

False

Question 6

What is the relationship?

Group of answer choices

negative; moderate

negative; strong

positive; moderate

positive; weak

Question 7

Compute the coefficient of determination.

Solutions

Expert Solution

3.

X    Y
1 10
7 3
2 12
3 11
5 6
4 8
1 14
2 9
3 10
10 2

Also, the following calculations are needed to compute the correlation coefficient:

X Y X*Y X2 Y2
1 10 10 1 100
7 3 21 49 9
2 12 24 4 144
3 11 33 9 121
5 6 30 25 36
4 8 32 16 64
1 14 14 1 196
2 9 18 4 81
3 10 30 9 100
10 2 20 100 4
Sum = 38 85 232 218 855

The correlation coefficient r is computed using the following expression:

where

In this case, we get that

Therefore, the sample correlation coefficient is computed as follows

4.

The critical value for the correlation coefficient is 0.632.

The sample size is n = 10, so then the number of degrees of freedom is df = n-2 = 10 - 2 = 8

The corresponding critical correlation value rc​ for a significance level of α=0.05, for a two-tailed test is:

rc ​= 0.632

5.

The following needs to be tested:

H0​ : ρ = 0

HA ​: ρ 0

The corresponding critical correlation value rc​ for a significance level of α=0.05, for a two-tailed test is:

rc​ = 0.632

Observe that in this case, the null hypothesis H0​:ρ=0 is rejected if ∣r∣>rc​=0.632.

We have that ∣r∣=0.921>rc​=0.632, from which is concluded that the null hypothesis is rejected.

True, the correlation coefficient is significantly different from zero, meaning there is a significant linear relationship (correlation) between x and y.

6.

The relationship is negative, strong.

7.

Coefficient of determination =


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