STA437. Predicting the Happiness Score of a Country Using the Explanatory Variables.

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.
Research Topic: Predicting the Happiness Score of a Country Using the Explanatory Variables
Measuring and understanding the levels of happiness among people is a direct indication of the quality of life. It is a scientific approach where statistical models are used to measure how different variables such as GDP and corruption influence people's way of life. Using critical data to analyze how people perceive life and whether they are enjoying benefits, governments, policymakers, activists, and other stakeholders. It is a premise through which informed decisions can be made regarding issues like healthcare, freedom, and civil liberties, among others. In this statistical project, the changes and determinants of happiness were analyzed, with a model developed based on the people's evaluation of the variables under consideration. However, the presentation in this report is the average life evaluation for every nation.
When people are happy, they exhibit strong social relations, low levels of crimes, freedom of speech, and respect for human rights, and show higher levels of life satisfaction. In many developing countries, the levels of the country's GDP are directly associated with happiness. This is because, when people experience low levels of financial stress, they are happier and satisfied. There are other broader issues in society that influence the levels of happiness among the people. The data that will be used in this research include logGDP, life expectancy, freedom, generosity, government trust, and corruption. These variables are essential for the development of the model that can be...