Which term means 'many variables' and is used for analyses with more than one outcome variable?

Which term means 'many variables' and is used for analyses with more than one outcome variable?

• A. Multivariate
• B. Monte Carlo method
• C. Multiple R
• D. Multinomial logistic regression

Answer: (A)

This is about analyses that involve more than one outcome variable. The term multivariate means multiple variables, and in statistics it refers to methods that analyze several dependent variables at once, taking into account how they relate to each other. This is why multivariate analysis is used when you have more than one outcome to examine, such as in MANOVA, multivariate regression, and related techniques. The other options don’t fit this idea: the Monte Carlo method is a simulation approach, Multiple R is just a measure of the linear relationship between two variables, and multinomial logistic regression handles a single dependent variable that has more than two categories, not multiple dependent variables.

This is about analyses that involve more than one outcome variable. The term multivariate means multiple variables, and in statistics it refers to methods that analyze several dependent variables at once, taking into account how they relate to each other. This is why multivariate analysis is used when you have more than one outcome to examine, such as in MANOVA, multivariate regression, and related techniques.

The other options don’t fit this idea: the Monte Carlo method is a simulation approach, Multiple R is just a measure of the linear relationship between two variables, and multinomial logistic regression handles a single dependent variable that has more than two categories, not multiple dependent variables.