Exam 20: Introducing Multivariate Data Analysis

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In discriminant analysis,a linear combination of independent variables that explains group memberships is known as a(n)____.

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The variate is a mathematical way in which a set of variables can be represented with one equation.

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Logit is the inverse log of the odds of some occurrence.

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The type of measurement scales used will determine which multivariate statistical techniques are appropriate for the data.

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When the logistic regression equation predicts a result of greater than 0 (positive value),the predicted outcome is ____________________.

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MANCOVA is a variation of MANOVA that can include interval or ratio covariates.

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All of the following are dependence methods of analysis EXCEPT ____.

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Multivariate dependence techniques are variants of the ____________________.

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Statistical methods that permit the study of three or more variables at the same time are called ____________________ statistical analysis.

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Which type of analysis involves three or more variables?

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Multivariate dependence techniques are variants of the ____,which is a way of modeling some process based on how different variables cause fluctuations from the average dependent variable.

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Which method of analysis is a variation of MANOVA that can include interval or ratio covariates?

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Which of the following entropy R² values implies the highest predictive power?

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An assessment of logistic regression predictive power that functions like R² in multiple regression is the ____________________ R².

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Which type of analysis attempts to predict a categorical dependent variable?

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What is computed by the following formula? What is computed by the following formula?

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____________________ regression is a multivariate technique involving prediction of a categorical,dichotomous dependent variable.

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

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A(n)____________________ variable has two distinct levels that are coded as 0 and 1.

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Multivariate dependence techniques are variants of the general linear model (GLM).

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