Question involves variable relationships that range from between two variables to two sets of variables

Simple relationships

Correlation r

Population: ρ

Nonparametric versions

For example: Kendall’s tau, phi, point biserial etc.

Model level correlation/variance accounted for

Multiple R

R-squared (aka ‘amount of variance accounted for)

Eta squared η2

Adj R-squared

Omega-squared ω2

Multivariate: Canonical R and R2

Variable/factor level unique effects

Raw coefficient

Product of the covariance

Relative importance among predictors/factors

Standardized

Partial correlation

Partial eta

Semi-partial

Eta for an individual factor

Others

Average squared semi-partial ‘LMG’

Loadings

Principal Components, Factor analysis, Canonical correlation etc.

### R family