Exam 24: Introducing Multivariate Statistical Analysis

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Which analysis is portrayed by the equation: Y = bₒ + b₁X₁ + b₂X₂ + b₃X₃...+ bnXn?

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To determine whether the discriminant analysis can be used as a good predictor,information provided in the "confusion matrix" is used.

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A value of R² = 0.40 means that ____ percent of the variance in the dependent variable is explained by the independent variables.

(Multiple Choice)
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Which type of analysis involves three or more variables?

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An indication of how strongly a measured variable is correlated with a factor is given by the ____________________.

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Nominal and ordinal scales are referred to as metric scales.

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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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Multiple regression analysis includes a single independent variable but several dependent variables.

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A multivariate tool that combines a factor analytic and regression approach to provide path estimates to a proposed model but falls short of providing an assessment of fit is called:

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All of the following are examples of dependence methods of analysis EXCEPT:

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Partial correlations measure the variance inflation among independent variables.

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When a researcher is attempting to predict sales volume by using building permits,amount of advertising,and the income levels of residents,the researcher is using:

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In multiple regression,dummy variables are those that have no effect on the dependent variable.

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

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Which of the following indicates how strongly a measured variable is correlated with a factor?

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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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If a bank wants to discriminate between successful and unsuccessful credit risks for home mortgage loans,it should use:

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The purpose of ____________________ analysis is to summarize information in a large number of variables into a smaller number of factors.

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A mathematical way of simplifying factor analysis results is:

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List the steps in interpreting a multiple regression model.

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