1.

Interchanging two rows in a contingency table will not have an effect on the chi-squared statistic. True or False.

2.

Interchanging the explanatory and response variables will not have an effect on the correlation coefficient, r. True or False.

3.

A researcher reports that her regression model “explains” 50% of the variation in her dependent variable. Which one of the following statements must be true.

a)

b1 = 0.50

b)

r = 0.25

c)

d)

r2 = 0.50

4.

When conducting a test for independence, a cell in the table has a large positive adjusted residual. This is:

a)

Consistent with the null hypothesis of independence

b)

The observed cell count is higher than expected if the variables were independent

c)

The observed cell count is higher than expected if the variables were independent

5.

A test for independence is conducted where the nominal explanatory variable has 4 levels and the nominal response variables has 3 levels. If we conduct the chi-square test at the =0.05 significance level, we will conclude the variables are not independent (dependent) if the test statistic:

a) < 12.59 b) < 21.03 c) > 12.59 d) > 21.03 e) < 16.92 f) > 16.92