A survey found that social networking is popular in many nations around the world. Data was collected on the level of social media networking (measured as the percent of individuals polled who use social networking sites) and the GDP per capita based on purchasing power parity (PPP) for 24 countries. Complete parts (a) through (c). E Click the icon to view the data table. a. Compute and interpret the coeficient of correlation,r. The coefficient of correlation, r=. indicates v correlation. (Round to three decimal places as needed.) b. Al the 0.05 level of significance, is there a significant linear relationship between GDP and social media usage? Determine the hypotheses for the test. Choose the correct answer below. OB. H B, s0 H: B, >0 O E. H Bo =0 OC. Ha: B, 20 H: P, <0 OF. H p20 H;: p<0 O A. Ho: ps0 H: p>0 OD. Ho: p=0 H;: p40 Compute the test statistic. tSTAT O (Round to two decimal places as needed.) Identify the p-value of the test statistic. p-value =O (Round to three decimal places as needed.) Determine the upper critical value: The upper critical value /2U (Round to two decimal places as needed.) Reach a decision. V Ho. There is V evidence to conclude that there is a significant linear relationship between GDP and social media usage. c. What conclusions can you reach about the relationship between GDP and social media usage? O A. There is a significant linear relationship, but the negative linear relationship is only moderate. O B. There is a significant linear relationship, but the positive linear relationship is only moderate. OC. There is not a significant linear relationship. O D. There is a significant linear relationship, and the positive linear relationship is perfect.
A survey found that social networking is popular in many nations around the world. Data was collected on the level of social media networking (measured as the percent of individuals polled who use social networking sites) and the GDP per capita based on purchasing power parity (PPP) for 24 countries. Complete parts (a) through (c). E Click the icon to view the data table. a. Compute and interpret the coeficient of correlation,r. The coefficient of correlation, r=. indicates v correlation. (Round to three decimal places as needed.) b. Al the 0.05 level of significance, is there a significant linear relationship between GDP and social media usage? Determine the hypotheses for the test. Choose the correct answer below. OB. H B, s0 H: B, >0 O E. H Bo =0 OC. Ha: B, 20 H: P, <0 OF. H p20 H;: p<0 O A. Ho: ps0 H: p>0 OD. Ho: p=0 H;: p40 Compute the test statistic. tSTAT O (Round to two decimal places as needed.) Identify the p-value of the test statistic. p-value =O (Round to three decimal places as needed.) Determine the upper critical value: The upper critical value /2U (Round to two decimal places as needed.) Reach a decision. V Ho. There is V evidence to conclude that there is a significant linear relationship between GDP and social media usage. c. What conclusions can you reach about the relationship between GDP and social media usage? O A. There is a significant linear relationship, but the negative linear relationship is only moderate. O B. There is a significant linear relationship, but the positive linear relationship is only moderate. OC. There is not a significant linear relationship. O D. There is a significant linear relationship, and the positive linear relationship is perfect.
MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
Problem 1P
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Please fill in the blanks and select the correct answers over the image provided. Thank you
Transcribed Image Text:A survey found that social networking is popular in many nations around the world. Data was collected on the level of social media networking (measured as the percent of individuals polled who use social networking sites) and the GDP per capita based on purchasing power parity (PPP) for 24 countries.
Complete parts (a) through (c).
E Click the icon to view the data table.
a. Compute and interpret the coefficient of correlation, r.
The coefficient of correlation, r=, indicates
V correlation.
(Round to three decimal places as needed.)
b. At the 0.05 level of significance, is there a significant linear relationship between GDP and social media usage?
Determine the hypotheses for the test. Choose the correct answer below.
O A. Ho: ps0
H4: p>0
O B. H: B, s0
H: B, >0
OC. Ho: B, 20
H: B, <0
OF. Ho: p20
H: p<0
OD. Ho: p=0
H,: p#0
O E. H: Bo = 0
H,: Bo*0
Compute the test statistic.
ISTAT =O
(Round to two decimal places as needed.)
Identify the p-value of the test statistic.
p-value =
(Round to three decimal places as needed.)
Determine the upper critical value:
The upper critical value t2 = (Round to two decimal places as needed.)
Reach a decision.
Ho. There is
V evidence
conclude that there is a significant linear relationship between GDP and social media usage.
c. What conclusions can you reach about the relationship between GDP and social media usage?
O A. There is a significant linear relationship, but the negative linear relationship is only moderate.
O B. There is a significant linear relationship, but the positive linear relationship is only moderate.
O C. There is not a significant linear relationship.
O D. There is a significant linear relationship, and the positive linear relationship
perfect.
Transcribed Image Text:GDP and Social Media Usage Data
GDP (PPP) Social media e
usage (%)
67
Country
18,084
15,831
1
2
56
3
6120
46
4
6557
44
9940
40
15,263
40
17,523
48
4665
34
9
9828
56
10
5183
22
11
18,580
69
12
19,100
13,586
12,120
15,615
66
13
59
14
50
15
44
16
5281
46
17
7501
29
18
11,527
44
19
2820
32
20
3544
26
21
1856
37
22
2065
35
23
3137
7
24
1473
12
Print
Done
567 co
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