Exam 23: Bivariate Statistical Analysis: Measures of Association

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?

In a regression equation, the slope of the line, b, is the change in X that is due to a corresponding change of one unit of Y.

The first step in interpreting a simple regression output is to interpret the significance of the _____.

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

Discuss the steps in interpreting a simple regression output.

If the t-test is used to test the significance of a correlation coefficient, it is hypothesized that _____.

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

The ordinary least-squares method of regression analysis is based on the logic of how much better a regression line can predict values of Y compared to simply using the standard deviation as a prediction.

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

Discuss the common procedures for testing association for data that are nominal, ordinal, and interval/ratio.

The first step in interpreting simple regression output is to interpret the individual parameter coefficient.

The statistical measure of the association between two variables is known as the ______ coefficient.

Covariance is the extent to which one variable causes a change in another variable.

All of the following are simple regression estimation techniques EXCEPT _____.

In the regression equation, Y = a + b X, a is the symbol for the _____.

What is the first step in interpreting a simple regression output?

The symbol for the coefficient of determination is _____.

If the regression weight is in the hypothesized direction, the hypothesis is supported.

If the correlation coefficient is - 0.62, the coefficient of determination is approximately:

If the regression equation is: Y = 24.35 - 14.2 X , then 24.35 is the ______ , while -14.2 is the ______.