Exam 20: Introducing Multivariate Data Analysis

Logistic regression models can be compared with respect to their predictive power by taking the difference of their respective -2LLs.

If the researcher wants to classify objects into two mutually exclusive categories,the researcher should use ____________________ analysis.

The likelihood value provides a way of indicating the overall significance or predictive capabilities of multiple regression.

The ____________________ logistic coefficient is the antilog of the raw logistic regression parameter estimate.

If the probability of success is 90 percent,what are the odds of success?

Explain the steps in interpreting MANOVA.

Nominal and ordinal scales are examples of ____ scales,while interval and ratio scales are examples of ____ scales.

A discriminant score above the cutting score places observations in one group,while a discriminant score below the cutting score places them in another.

Which entropy R² value implies no predictive power?

MANOVA predicts multiple continuous dependent variables with multiple continuous independent variables.

If the analysis contains only one dependent variable and that variable is interval,the appropriate statistical analysis is ____.

Which activity is the first step in interpreting MANOVA or MANCOVA results?

Explain how MANOVA models are similar to and differ from ANOVA models.

The two types of multivariate techniques are ____________________ methods and ____________________ methods.

Nominal and ordinal scales are referred to as metric scales.

In logistic regression,the dependent variable takes on a value of one to indicate ____.

Which entropy R² value implies perfect predictive power?

The probability of success divided by the probability of failure is the ____.

The basic types of multivariate techniques are known as metric methods and nonmetric methods.

The exponential logistic coefficient is the antilog of the raw logistic regression parameter estimate.