Exam 23: Bivariate Statistical Analysis: Measures of Association

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Compare and contrast correlation,covariance,and causation.

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In the regression equation,Y = a + b X ,b is the:

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The statistical significance of a regression model is determined by a c² test.

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Covariation in which the association between variables is in the opposite direction indicates a(n)____________________.

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The square of the correlation coefficient is called the ____________________.

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The extent to which a change in one variable corresponds systematically to a change in another is called:

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The Pearson product-moment correlation coefficient ranges between ____________________ and ____________________.

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If r = -.88,this indicates a weak relationship between the two variables under study.

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The Pearson product-moment correlation coefficient ranges between:

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The Pearson product-moment correlation requires what type of scale for the data?

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If the correlation between X and Y is -.72,approximately what percentage of the variance in Y can be explained by X?

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A Spearman correlation is more appropriate for interval and ratio data than is the Pearson product-moment correlation.

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The extent to which a change in one variable corresponds systematically to a change in another is referred to as ____________________.

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Which regression estimation technique is based on the logic of how much better a regression line can predict values of Y compared to simply using the mean as a prediction for all observations no matter what the value of X may be?

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The statistical significance of a correlation can be tested using the t-test.

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Lance is studying the relationship between sales training of the sales force and customer satisfaction and loyalty.When researchers like Lance are focused on explanation rather than prediction,then which of the following is most appropriate when using simple regression?

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The standard format for reporting the correlations between several variables is called the ____________________.

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The square of the correlation coefficient indicates the part of the total variance of Y that can be accounted for by X.

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Explain how regression differs from correlation.

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Price is frequently used as an independent variable in marketing research.

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