S14Exam5Review

A statistical procedure used to describe the strength and direction of the linear relationship between two factors is called a:

• parameter

• factor

• correlation

• confound

The ________ of the correlation coefficient indicates the direction of a correlation.

• strength

• value

• sign

• linearity

A researcher computes r = .45 using a sample of 18 participants. What is the decision for a Pearson correlation coefficient for a two-tailed test at a .05 level of significance? (Table C.5)

• retain the null hypothesis

• reject the null hypothesis

• not enough information

A significant correlation shows that two factors are ________, not that one factor ________ changes in a second factor.

• causal; is related to

• related; causes

A researcher measures the following correlation: r = +.38. What is the value of the coefficient of determination?

• .14

• .38

• .62

• .76

A researcher tests the extent to which the wealth of a country can be used to predict the unemployment rate of a nation. Which factor is the criterion variable?

• the wealth of a country

• the unemployment rate of a nation

• both factors are criterion variables in this example

Outliers can obscure the relationship between two factors by altering the:

• extent to which two correlations are related to a third factor

• extent to which changes in one factor cause changes in a second factor

• direction and strength of an observed correlation coefficient

• none of the above

________ is a statistical procedure used to determine the equation of the regression line to a set of data points and to determine the extent to which the regression equation can be used to predict values of one factor, given known values of a second factor in a population.

• Linear regression

• Evaluation

• Predictor testing

• Criterion testing

When pairs of scores for two factors move in the opposite directions, the slope of the regression is ________.

• nonlinear

• negative

• positive

• minimal

Which of the following is reported for the results of an analysis of regression?

• the test statistic value

• the p value of the hypothesis test

• the degrees of freedom

• all of the above