Upload your data and get a complete world happiness report — multiple regression report. Free.
or click to browse · max 3 MB
Running world happiness report — multiple regression analysis...
Sent to — interactive charts, statistical results, R code, and AI insights.
Analyze another fileMultiple linear regression identifying which socioeconomic factors best predict national happiness scores across countries, with standardized coefficients and multicollinearity diagnostics
Use when you want to identify which predictors have independent effects on an outcome variable while controlling for others
Do not use if predictors are highly collinear (VIF > 10) or if the outcome variable is non-normal
Dataset with 9 columns
Minimum 50 rows
156 countries, 7 predictors, 1 continuous outcome (happiness score). Multiple regression with standardized coefficients, correlation matrix, VIF for multicollinearity, partial regression plots.
Descriptive statistics (mean, SD, min, max) for all happiness predictors across 156 countries
Correlation matrix showing relationships between happiness score and all predictors
Standardized regression coefficients showing each predictor unique effect on happiness after controlling for others
Top 10 happiest countries by happiness score
Bottom 10 least happy countries by happiness score
VIF diagnostics checking for multicollinearity among predictors
Residuals vs fitted values plot to check for heteroskedasticity
Histogram of regression residuals to validate normality assumption
Plain-English interpretation — what the numbers mean, what's significant, and what to do next.
Rank predictors of national happiness
Rank predictors of national happiness
See our FAQ for details on pricing, data privacy, and how the analysis works. Every report includes a Methodology section showing the statistical test, assumptions checked, and diagnostics run.
Run any analysis on your own data — validated R analyses, interactive reports, AI insights, and PDF export.
Try Free — No Credit Card