Predicting the Happiness Score of a Country Using Explanatory Variables
Overview
This research paper develops a statistical model to predict national happiness scores using explanatory variables from the World Happiness Report 2017. The study employs correlational methodology to investigate how nine variables including GDP, life expectancy, freedom, and corruption correlate with and influence happiness scores across different nations.
What this research paper covers
- Abstract and introduction outlining the research purpose and methodology
- Variable definitions including Ladder (happiness score), LogGDP, Social support, HLE, Freedom, Generosity, Corruption, Positive/Negative effects, and Gini coefficient
- Research discussion on the relationship between GDP, quality of life, and happiness determinants across developing and developed nations
Preview
Predicting the Happiness Score of a Country Using the Explanatory Variables
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Predicting the Happiness Score of a Country Using the Explanatory Variables
Abstract
The research paper uses the explanatory variables to predict the happiness score of a country. Moreover, it was the purpose of the research to assess the understanding of happiness from different subjects. Using the data analyzed in the study, the research will show that by using the explanatory variables from the data under consideration, it is possible to obtain accurate predictions of the happiness scores from the different nations. The methodology applied in this paper includes correlational, trying to investigate how the other nine variables correlate with the happiness scores of the different countries. The source of the data was the World Happiness Report 2017. The sample statistics used will be obtained randomly and will be of size n=100 from the original data set, which will be normally distributed following the gauss distribution. The main variables used in the data are as follows: Ladder (happiness score), LogGDP (the logarithm of country's' GDP 2017), Social (national average of the binary responses), HLE (healthy life expectancy), Freedom (national average of what you do), Generosity (donation regression residual of national averages), Corruption (national average on corruption), Positive (average of positive effects), Negative (average of negative effects), and Gini (Gini of household income).
Key words: Ladder, Log GDP, Social, HLE, Freedom, Generosity, Corruption, Positive, Negative, Gini, data, happiness score.