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Functional specification to calculate per country's happiness score

R 99.96% Python 0.04%
happiness-score correlation-matrix descriptive-statistics f-statistics r-squared regression-analysis

world-happiness-scores's Introduction

World-Happiness-Scores

  • A comprehension of people’s ideologies can be made from the world. This model predicts the happiness score of any country considering factors like GDP, Life expectancy, Freedom, and Trust in government. This model pertains relevancy to those who wish to explore other countries, including governments and businesses to conduct foreign operations.

    Functional specification

  • The current hypothesis states that the happiness score is affected by GDP per capita, Freedom, and Life Expectancy. Each of these independent variables – GDP per capita, Freedom, Life expectancy results in a positive correlation towards Happiness Score.

    Descriptive statistics

    Correlation matrix

    Regression results

  • F- statistic revealed to be 1787 with an adjusted R-squared of 0.98%. The null hypothesis suggested Happiness score will increase as each independent variable increases as well. The alternate hypothesis agrees with the null. GDP per capita, Life Expectancy, and Freedom had a positive correlation toward the dependent variable, Happiness Score.

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