World Happiness Report Data Analysis Presented By: Jacob - - PowerPoint PPT Presentation

World Happiness Report Data Analysis

Presented By: Jacob Bissonette, Kyle Costello, Zachary Mailloux, and Adrianna Staszewska

What are we looking at?

• Happiness standings of different countries
• Happiness rankings of different

regions of the world

• Different factors that play important roles

in a countries happiness rating

What Does Our Data Include?

• Results from 134 Countries between 2015 - 2019
• Dependent Variable: Happiness Score, Scale of 1 - 10
• Independent Variables:
• Economic Score (GDP per Capita)
• Health Score (Life Expectancy)
• Freedom Score (ability to make own life choices)
• Trust Score (higher score means greater trust/less corruption in gov’t)
• Generosity Score

Cleaning the Data

• Missing countries across data sets
• Missing independent variables across data sets
• Zeroed values for some independent variables in specific countries
• Added extra variable called Regions for further break down

Approaching Our Problem

Goals

• Predict a happiness score for a country
• Determine trends in happiness scores with respect

to regions

• Determine what variables have a larger deciding

factor in the happiness score

Approaches

• Regression analysis
• Singular/Multiple/Tree
• Basic data visualization
• Heat map

Initial Analysis

Regression Analysis

Regression in Excel

Examined a Multiple Regression using the entire data set from 2015-2019

R2 = 0.745

Independent Variables and Significance GDP P-Value = 5.81E-47 Life Expectancy P-Value = 8.66E-17 Freedom P-Value = 2.25E-23 Trust P-Value = 0.127080097 Generosity P-Value = 0.018402025

Choosing our predictors

Regression Tree Approach

Multiple Regression Model

HappinessScore = 2.23853 + 1.34888*GDP + 1.49602*LE + 2.36287*F Multiple R2 value for training data: 0.755 Multiple R2 for testing data: 0.688

Comparison of Multiple Regression and Tree Methods

Multiple Regression Tree Regression

MSE 0.35 0.46 MAPE 9.33% 10.5% R2 68.8% 58.4%

Conclusions

• Most important factors when considering global happiness are:
• GDP
• Freedom
• Life Expectancy
• Using the Multiple Regression approach provided lower MSE values and

higher R2 values than the Tree Method approach

• Determined that Europe, North America, and Oceania have some of the

highest happiness scores in the world

Questions?