________ are suitable for analyzing data when there are two or more measurements of each element and the variables are analyzed simultaneously.
A) Multivariate techniques
B) Dependence techniques
C) Interdependence techniques
D) Univariate techniques

Question

Quizplus · Accepted Answer

Multivariate techniques are designed to analyze data where there are multiple measurements of each variable and the variables are analyzed simultaneously. These techniques are useful in determining the relationships between multiple variables and are commonly used in fields such as statistics, social science, and finance. Dependence techniques are also used to analyze relationships between variables, but they focus on identifying the strength and direction of the relationship between two variables. Interdependence techniques refer to the relationship between two or more variables, but they do not necessarily involve analyzing multiple measurements of each variable. Univariate techniques, on the other hand, are designed to analyze data with only one variable.

________ Are Suitable for Analyzing Data When There Are Two