A Study Onaverage Life Satisfaction and GDP per Capita in OECD 2022

A Study On average life
satisfaction and GDP per capita
in OECD

Contents of the study
 Executive Summary
Introduction
 Hypothesis
 Method
Summary Measure
 Regression Analysis
 T-test
 Scatter Plot
 Correlation Coefficient and Coefficient of determination
 Recommendation
Conclusion
References

Executive Summary
• The study analyse the satisfaction of life versus
gross domestic product in per capita among 35
selected countries all over the world.
• In this study test and shows of some variables
by descriptive and inferential ways.
• The variables of the study are the average life
satisfaction and Gross Domestic Product (GDP)
per capita.
• In the part of descriptive statistics central
tendency and dispersion has been shown.

Executive Summary
• Also in the inferential statistics linear regression
model and t-test of hypothesis has been defined.
• All the descriptive and inferential statistics are
done depends upon the average life satisfaction
and Gross Domestic Product (GDP).
• Moreover the graphical representation shows
the normality and fluctuation of the data.

Introduction
• The study analyse the satisfaction of life versus gross
domestic product in per capita among 35 selected
countries all over the world.
• The study provides the satisfaction of life and gross
domestic product per capita among the selected
countries (Balestra, Boarini & Tosetto, 2018).
• The main hypothesis of the study is to show the
relationship between the life satisfaction and the gross
domestic product per capita.

Introduction
• From the point of purchasing power and parity a riches
power of the country is on the downward direction
when the nation has a gross domestic product fewer
than 15,000 USD (Brown, Oueslati & Silva, 2016).
• The presence of high or low gross domestic product
and satisfaction of life of a people defines the
economic condition of a country.
• The study reflect the relation between satisfaction of
life and gross domestic product by simple linear
regression model.

Hypothesis
•To determine that the
relationship between average
life satisfaction and GDP.
• To test that the average life
satisfaction is not more than 7.

Method
• The study has been conducted with the help of
secondary data of 135 OECD countries.
• The sample observations has been collected during the
period of 2017.
• The summary statistics and the regression analysis has
been shown to determine the relationship between life
satisfactions versus gross domestic product.
• The study reflect the association between the
satisfaction of life and gross domestic product per capita
among 35 selected countries.