Exam 14: Determining Relationships

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The terms dependent and independent are arbitrary designations and are customary to regression analysis.

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Which of the following is NOT true regarding the independent variable in regression analysis?

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In chi-square analysis,the formula for an expected cell frequency shows the cell column total * by the cell row total in the numerator and ________ in the denominator.

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A question about choice of drink with the answers being "coffee" or "soft drink" would be considered to have:

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A ________ is a consistent and systematic linkage between the levels or labels for two variables.

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We would use cross-tabulation if we wanted to assess the statistical significance of categorical relationships.

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What Greek symbol denotes the true slope in regression analysis?

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A scatter diagram plots data pairs in an x- and y-axis graph.

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In multiple regression,the multiple R,also called the coefficient of determination,ranges from 0 to +1.00.It represents the amount of the dependent variable "explained" by the combined independent variables.

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You may perform regression analysis,using your XL Data Analyst by the command: Relate-Regression.

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The intersection of a row and a column is called a cross-tabulation cell.

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The Pearson product moment correlation has a range between -1.00 and +1.00.

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Which type of relationship is described by the formula: y = a + bx?

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If a correlation coefficient is not statistically significant:

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Independent variables are normally measured in different units.To determine the relative importance of the beta weights between independent variables,we would use:

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Regression analysis provides a measure of accuracy for predictions of the regression equation through the:

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Multiple regression,a form of bivariate regression where more than one independent variable,is in the regression equation.

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A chi-square value is significant when it exceeds 1.96.

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In multiple regression,interpreting the regression results is complicated because the different independent variables are scaled differently.The answer is to standardize the beta coefficients.

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Gender is not an appropriate column variable for a cross-tabulation analysis in XL Data Analyst.

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