Exam 18: Measures of Association

To estimate the accuracy of predicted values,Y,found in bivariate regression,it is useful to calculate the _____,the standard deviation of the actual Y values for the predicted Y values.

When a researcher needs a correction to chi-square appropriate for large tables,_____ is an appropriate measure.

Which term below refers to the difference between the regression line value of Y and the real Y value?

Artifact correlations describe a situation ______.

What type of measure is Spearman's rho?

Explain how a researcher should interpret a correlation coefficient.

Which procedure for finding a regression line keeps errors of estimate to a minimum?

Which of the following is true of the association between brand loyalty and attitude toward the brand if the product moment correlation coefficient between brand loyalty and attitude toward the brand is .65 with a p value of .01?

Which of the following questions would be best answered using simple regression?

Which of the following ordinal measures is a measure of association that compensates for tied ranks and adjusts for direction of the independent variable?

Which ordinal measure is a statistic that compares concordant and discordant pairs and then standardizes the outcome by maximizing the value of the denominator?

When concordant pairs exceed discordant pairs in a P-Q relationship,Kendall's tau b reports a(n)_____ association between the variables under study.

Which of the following symbols is used to reflect Goodman and Kruskal's gamma?

The _____ is a statistic summarizing the strength of association between two metric variables.

Which of the following is true of relationships among nominal measures?

Which statistic below is a measure of how well the frequencies of one nominal variable predict the frequencies of another variable?

It is possible for a correlation coefficient of .12 to be statistically significant when _____.

The primary advantage of the contingency coefficient C is _____.

What are the assumptions made by the regression model in estimating the parameters and in significance testing?

Which statement is NOT true about the constant b in the bivariate regression equation = a + bX_i?