Analysed 4 numeric variables across 200 observations using pearson correlation, yielding 6 unique variable pairs. 4 of those pairs are statistically significant at α = 0.05 after Holm correction. The strongest relationship is numeric_1 × numeric_4 with r = 0.7705.

The heatmap shows all 4 × 4 pairwise correlations. Diagonal cells are 1.0 (each variable with itself). 4 of the 6 off-diagonal pairs are statistically significant. Dark red or blue cells highlight the strongest linear associations.

All 6 variable pairs ranked by absolute correlation strength. 4 pairs are statistically significant (Holm-adjusted p < 0.05). The strongest association is numeric_1 × numeric_4 (r = 0.7705). Longer bars indicate stronger linear co-movement; sign shows direction.

Scatter plot of the most strongly correlated pair: numeric_1 vs numeric_4 (r = 0.7705). Each point is one observation (200 shown after removing missing values). The tighter the points cluster around a diagonal line, the stronger the linear relationship between the two variables.

Descriptive statistics for all 4 numeric variables used in the correlation analysis. N Valid is the count of non-missing rows out of 200 total observations. Mean and standard deviation provide scale context: variables with very different scales can still have strong correlations, since correlation is scale-invariant.