Question:
C1-T |
INTERNET |
GDP |
CO2 |
CELLULAR |
FERTILITY |
LITERACY |
Algeria |
0.65 |
6.09 |
3 |
0.3 |
2.8 |
58.3 |
Argentina |
10.08 |
11.32 |
3.8 |
19.3 |
2.4 |
96.9 |
Australia |
37.14 |
25.37 |
18.2 |
57.4 |
1.7 |
100 |
Austria |
38.7 |
26.73 |
7.6 |
81.7 |
1.3 |
100 |
Belgium |
31.04 |
25.52 |
10.2 |
74.7 |
1.7 |
100 |
Brazil |
4.66 |
7.36 |
1.8 |
16.7 |
2.2 |
87.2 |
Canada |
46.66 |
27.13 |
14.4 |
36.2 |
1.5 |
100 |
Chile |
20.14 |
9.19 |
4.2 |
34.2 |
2.4 |
95.7 |
China |
2.57 |
4.02 |
2.3 |
11 |
1.8 |
78.7 |
Denmark |
42.95 |
29 |
9.3 |
74 |
1.8 |
100 |
Egypt |
0.93 |
3.52 |
2 |
4.3 |
3.3 |
44.8 |
Finland |
43.03 |
24.43 |
11.3 |
80.4 |
1.7 |
100 |
France |
26.38 |
23.99 |
6.1 |
60.5 |
1.9 |
100 |
Germany |
37.36 |
25.35 |
9.7 |
68.2 |
1.4 |
100 |
Greece |
13.21 |
17.44 |
8.2 |
75.1 |
1.3 |
96.1 |
India |
0.68 |
2.84 |
1.1 |
0.6 |
3 |
46.4 |
Iran |
1.56 |
6 |
4.8 |
3.2 |
2.3 |
70.2 |
Ireland |
23.31 |
32.41 |
10.8 |
77.4 |
1.9 |
100 |
Israel |
27.66 |
19.79 |
10 |
90.7 |
2.7 |
93.1 |
Japan |
38.42 |
25.13 |
9.1 |
58.8 |
1.3 |
100 |
Malaysia |
27.31 |
8.75 |
5.4 |
31.4 |
2.9 |
84 |
Mexico |
3.62 |
8.43 |
3.9 |
21.7 |
2.5 |
89.5 |
Netherlands |
49.05 |
27.19 |
8.5 |
76.7 |
1.7 |
100 |
New Zealand |
46.12 |
19.16 |
8.1 |
59.9 |
2 |
100 |
Nigeria |
0.1 |
0.85 |
0.3 |
0.3 |
5.4 |
57.7 |
Norway |
46.38 |
29.62 |
8.7 |
81.5 |
1.8 |
100 |
Pakistan |
0.34 |
1.89 |
0.7 |
0.6 |
5.1 |
28.8 |
Philippines |
2.56 |
3.84 |
1 |
15 |
3.2 |
95 |
Russia |
2.93 |
7.1 |
9.8 |
5.3 |
1.1 |
99.4 |
Saudi Arabia |
1.34 |
13.33 |
11.7 |
11.3 |
4.5 |
68.2 |
South Africa |
6.49 |
11.29 |
7.9 |
24.2 |
2.6 |
85 |
Spain |
18.27 |
20.15 |
6.8 |
73.4 |
1.2 |
96.9 |
Sweden |
51.63 |
24.18 |
5.3 |
79 |
1.6 |
100 |
Switzerland |
30.7 |
28.1 |
5.7 |
72.8 |
1.4 |
100 |
Turkey |
6.04 |
5.89 |
3.1 |
29.5 |
2.4 |
77.2 |
United Kingdom |
32.96 |
24.16 |
9.2 |
77 |
1.6 |
100 |
United States |
50.15 |
34.32 |
19.7 |
45.1 |
2.1 |
100 |
Vietnam |
1.24 |
2.07 |
0.6 |
1.5 |
2.3 |
90.9 |
You are provided with data for several nations from the Human Development Report, 2003.
a. Compute summary statistics (mean, median, mode, standard deviation) for the variables of GDP (GDP per capita in thousands of dollars) and Internet use and interpret them.
b. Generate a scatterplot with clearly labeled axes for Internet use and GDP.
c. Compute the correlation between Internet use and GDP and interpret it. Refer to both the strength and direction of the correlation in your interpretation. Also interpret the correlation as a coefficient of determination (r-squared).