Multivariate statistical analysis permit the researcher to consider the effects of three or more variables at the same time.

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The basic types of multivariate techniques are metric The basic types of multivariate techniques are metric

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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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Several dummy variables can be included in a regression model

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In multiple regression, the dependent variable must be continuous and interval-scaled

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

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In a regression equation, the beta coefficients indicate the effect on the dependent variable of a 1-unit increase in any of the independent variables.

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Partial correlations measure the variance inflation among independent variables

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In multiple regression, the coefficient of multiple determination indicates the percentage of the variation in Y that can be explained by all independent variables

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Multicollinearity in regression analysis refers to how strongly interrelated the independent variables in a model are.

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