Research question: Which factors show the strongest statistical association with a country's happiness score, and how much of the variation can these factors actually explain?
Public discussion of 'what makes a country happy' is often anecdotal. This project fits a transparent multiple linear regression on real World Happiness Report data, with a what-if simulator built on the real fitted coefficients.
The Data Analytics track stays in statistics and dashboarding territory rather than reframing everything as ML. The simulator applies real regression coefficients, labelled as a statistical association, not a causal prediction.
The six factors are the WHR's own pre-computed contribution values — verified they sum to the total score by construction. Coefficients near 1.0 are expected, not a discovery, stated plainly rather than oversold.