On Zach’s journey he discovered that people can perform better on a statistics test if they take the test under a fake name. He found some data in which men and women took a statistics test. They were assigned to one of three groups in which they took the test using their own name, a fake female name, or a fake male name. The outcome was the percentage on the test. Zach ran a factorial linear model (ANOVA) to see whether participant gender, the type of name they used, or the interaction between these variables affected test results. However, when the summary of results appeared on his diePad (Table 17.5), Milton used the magic eraser tool to delete some of the numbers. He’s aneisel like that. Help Zach to fill in the blanks and to determine whether each F is significant at p = 0.05. [Hint: think about the degrees of freedom for each predictor variable.]