QUESTION 1. Multivariate analysis of variance and covariance is a statistical technique that can be used to simultaneously explore the relationship between several categorical independent variables and two or more metric dependent variables.
QUESTION 2. The primary objectives of cluster analysis are to understand group differences and to predict the likelihood that an entity (individual or object) will belong to a class or group based on several metric independent variables.
QUESTION 3. Logistic regression is a statistical technique that can be used to explore a relationship between one dependent variable that is dichotomous and one or more binary independent variables (metric and nonmetric).
QUESTION 4. A dependence technique is defined as one in which a variable or set of variables are identified as the dependent variable(s) to be predicted or explained by other variables known as independent variables.
1.
true
Multivariate analysis (MVA) is a Statistical procedure for analysis of data involving more than one type of measurement or observation. It may also mean solving problems where more than one dependent variable is analyzed simultaneously with other variables.
2.
true
The purpose of cluster analysis is to reduce a large data set to meaningful subgroups of individuals or objects. The division is accomplished on the basis of similarity of the objects across a set of specified characteristics.
3.
true
This technique is a variation of multiple regression that allows for the prediction of an event. It is allowable to utilize nonmetric (typically binary) dependent variables, as the objective is to arrive at a probabilistic assessment of a binary choice.
4.
true
Dependence Techniques are types of multivariate analysis techniques that are used when one or more of the variables can be identified as dependent variables and the remaining variables can be identified as independent.
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