Exam 23: Bivariate Statistical Analysis: Measures of Association

If the t-test is used to test the significance of a correlation coefficient,the null hypothesis is:

If the regression equation is: Y = -4.2 + 3.6 X ,then the expected score for Y when X is 4 would be:

Correlation always means that a causal relationship exists between the two variables under study.

When the correlation between two variables is +.92,this means that as one variable ____,the other variable ____.

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

In regression analysis,the symbol X is commonly used for the ____ variable,and the symbol Y is commonly used for the ____ variable.

The coefficient of determination reflects the proportion of variance that can be explained by the regression line.

The regression parameter that represents the height of the regression line relative to horizontal is ____________________.

Which of the following represents the proportion of the total variance of a variable accounted for by another value of another variable?

A rule of thumb for R² is that it must be greater than 0.80 for a regression model to be significant.

Which of the following provides a common metric allowing regression results to be compared to one another no matter what the original scale range may have been?

The least-squares regression line minimizes the sum of the squared deviations of the actual values from the predicted values in the regression line.

Measure of association is a general term that refers to causality.

The Pearson product-moment correlation requires at least ____________________ data.

In a correlation matrix,the main diagonal contains correlations of zero.