Is far from the regression line

Is the largest value of Y

Is in the center of the display

Is far to the left of the display

Reject the null hypothesis and conclude the effect of one variable changes across levels of the other variable.

Fail to reject the null hypothesis and conclude there is no support for a combined effect of the variables.

Reject the null hypothesis and conclude post hoc tests are needed.

Fail to reject the null hypothesis and conclude the interaction should be investigated with bar graphs.

Exam scores 

The number of hours spent studying

The Y-intercept

The slope of the equation 

A difference of one unit in X will lead to a 5 point difference in the prediction

A difference of one unit in X will lead to a 12.6 point difference in the prediction

The correlation is significant

Y' will decrease as X increases

Hits the most points as it goes through the scatterplot

Minimizes the sum of squared errors of prediction

Minimizes each squared error of prediction

Minimizes the errors of prediction

That there is an interaction between Drug X and time of day

That there is a main effect for Drug X

That there is an interaction between Drug X and Drug Y

That there is a main effect for time of day

A main effect of gender

A main effect of group

All of the choices

An interaction of gender x group

A nonparametric test can be performed with data that could be analyzed with a parametric test

Parametric tests are usually more powerful than nonparametric tests

All of the choices

Violations of assumptions about normality are less critical with relatively large sample sizes

2 x 2 ANOVA

Correlation

Repeated-measures ANOVA

t-test

Been supported; Rejected

Been supported; Not rejected

Not been supported; Not rejected

Not been supported; Rejected