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Question: You have just read a long and rather difficult two-page text about fluctuations in the water level of a lake in Africa. You have to write a summary.How do you rate the usefulness of the following strategies for writing a summary of this two-page text? - Before writing the summary, I read the text as many times as possible.
Choices: 1 "Not useful at all" - 6 "Very useful"
Data: Average score
Period:
Area:
38 countries/ areas
Highlight:
1 Republic of Korea4.15
2 Greece3.85
2 Turkiye3.85
4 Spain3.82
5 Japan 3.80
6 Mexico3.75
7 Portugal3.73
8 Slovenia3.65
9 Chile3.64
10 Italy3.61
11 Estonia3.58
12 Ireland3.56
12 Lithuania3.56
14 Costa Rica3.47
15 New Zealand3.43
16 Australia3.42
16 Colombia3.42
18 United States3.41
19 Hungary3.38
20 Latvia3.35
21 Canada3.32
21 France3.32
21 United Kingdom3.32
24 Germany3.26
25 Austria3.21
25 Finland3.21
27 Luxembourg3.14
27 Slovakia3.14
27 Switzerland3.14
30 Israel3.11
31 Sweden3.09
32 Denmark3.07
33 Iceland3.05
34 Norway3.03
35 Poland2.93
36 Czech Republic2.92
37 Belgium2.91
38 Netherlands2.66

Note
The data of Azerbaijan are collected only in Baku. The data of China are collected only in Beijing, Shanghai, Jiangsu, and Zhejiang.

Source
OECD PISA 2018 Compendia

Correlations with major national performance indices
Life satisfaction (10 steps)
No. of data38
Regression equation
Y = -1.121154 X +10.469
Correlation coefficient (r)-0.635
Coefficient of determination (R2)0.403

GDP per capita (current US$)
No. of data38
Regression equation
Y = -37445.441653 X +170976.193
Correlation coefficient (r)-0.421
Coefficient of determination (R2)0.177

Life expectancy at birth - Both sexes (years)
No. of data38
Regression equation
Y = -1.109741 X +83.598
Correlation coefficient (r)-0.096
Coefficient of determination (R2)0.009

Fertility rate, total (births per woman)
No. of data38
Regression equation
Y = -0.350790 X +2.771
Correlation coefficient (r)-0.360
Coefficient of determination (R2)0.130

Suicide, age-standardized (per 100 000 population)
No. of data38
Regression equation
Y = -0.135877 X +10.318
Correlation coefficient (r)-0.011
Coefficient of determination (R2)0.000