Correlation analysis is particularly helpful to understand the relationship between: Group of answer choices Two or more continuous linear variables Nominal (or categorical) variables A nominal and a continuous linear variable Ordinal variables that do not have continuous measurements, like a low-medium-high scale, rather than a continuous variable like age or income