Exam 18: Correlation and Regression

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The most commonly used technique for fitting a straight line to a scattergram is the least-squares procedure.

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The null hypothesis in bivariate regression is ________.

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A procedure for deriving a mathematical relationship,in the form of an equation,between a single metric dependent variable and a single metric independent variable is called ________.

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The best fitting line on a scattergram is called the ________.

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In multiple regression,the strength of association is measured by the square of the multiple correlation coefficient,which is called the coefficient of multiple determination.

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In a short essay,discuss the characteristics and uses of a scatter diagram.Include a discussion of the least-squares procedure to support your answer.

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All of the following are true EXCEPT:

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The strength of association is measured by the coefficient of determination.

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In a short essay,discuss multiple regression and the multiple regression model.

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According to the text,a scatter diagram is also known as a ________.

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Which of the following is NOT a step involved in conducting bivariate regression analysis?

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Regression analysis is concerned with the nature and degree of association between variables and does not imply or assume any causality.

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Regression analysis is a statistical procedure for analyzing associative relationships between a metric dependent variable and one or more independent variables.

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According to the text,the ________ measures the linear association between two metric variables.

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Multiple regression is a statistical technique that simultaneously develops a mathematical relationship between two or more independent variables and an interval-scaled dependent variable.

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A procedure for deriving a mathematical relationship,in the form of an equation,between a single metric dependent variable and a single metric independent variable is called univariate regression.

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The strength of association is measured by the ________.

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When determining the correlation coefficient,r,it does matter which variable is considered to be the dependent variable and which the independent.

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The standardized regression coefficient is the slope obtained by the regression of y on x when the data are standardized.

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Both r and r² are symmetric measures of association.In other words,the correlation of X and Y is the same as the correlation of Y and X.

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