This report examines the statistical association between average life satisfaction and GDP per capita, focusing on data from 35 selected countries in 2017. The study employs descriptive statistics (mean, median, standard deviation) and inferential statistics (linear regression) to analyze the relationship between these two variables. The findings reveal a positive correlation between GDP and life satisfaction, with a correlation value of 0.6 and an R-squared value of 0.348. The report includes a discussion on the policy implications, limitations (e.g., effect of outliers), and recommendations for further research. The re-estimated regression model improved results. The analysis highlights the importance of factors beyond GDP, such as human capital and structural development, in achieving life satisfaction, especially in countries like Greece, which have low life satisfaction scores despite their GDP.