The Economic And Quantitative Analysis docx.

Running head: ECONOMICS AND QUANTITATIVE ANALYSIS
Economics and Quantitative Analysis
Name of the Student
Name of the University
Author note

ECONOMICS AND QUANTITATIVE ANALYSIS1
EXECUTIVE SUMMARY
This paper intends to conduct an analysis of linear regression to examine the statistical
association between the annual GDP per capita and average life satisfaction. It helps to define the
relationship between two variables. This paper evaluates the descriptive statistics and inferential
statistics.

ECONOMICS AND QUANTITATIVE ANALYSIS2
Table of Contents
Introduction......................................................................................................................................3
Purpose............................................................................................................................................3
Background......................................................................................................................................3
Method.............................................................................................................................................3
Results..............................................................................................................................................4
Discussion........................................................................................................................................9
Recommendation.............................................................................................................................9
Conclusion.......................................................................................................................................9
References and Bibliographies......................................................................................................10

ECONOMICS AND QUANTITATIVE ANALYSIS3
Introduction
This paper conducts an analysis of linear regression to assess the statistical association
between GDP per capita and average life satisfaction. Moreover, for this analysis good
methodology would be linear regression (Graafland and Lous 2018). The analysis will be
conducted on the basis two variables in which one is dependent variable and another one is
independent variable.
Purpose
This paper examines the association related to statistics between GDP per capita and
average life satisfaction with the help of data provided (Mikucka, Sarracino and Dubrow 2017).
The analysis of linear regression will help to understand the statistical association between these
two. Moreover, summarization of the statistical analysis is essential in order to gain insight about
the association.
Background
The evaluation of whole life of the people instead of the current feelings is measured by
the life satisfaction. The national prosperity is measured by the GDP per capita. Hence, there is a
close link between the life satisfaction and GDP per capita (Brown, Oueslati and Silva 2016).
The level of life satisfaction and GDP per capita varies across the nations of the world. There are
some specific factors, which are based on different countries. These country specific factors
influences the link between the GDP per capita and life satisfaction (Proto and Rustichini 2015).
It helps economists to determine the importance of life satisfaction in presence of higher GDP
per capita and how it can be achieved through GDP per capita.