Tag | Value |
---|---|
file | Inferential_Statistics_vufsw-anova_f-test-1100-en_vufsw-anova_f-test-1100-en |
name | vufsw-anova f-test-1100-en |
section | inferential statistics/parametric techniques/anova/anova f-test |
type | schoice |
solution | FALSE, TRUE, FALSE, FALSE |
Type | conceptual |
Program | NA |
Language | English |
Level | statistical reasoning |
A psychologist runs a regression with empathy as a dependent variable (Y) and gender as the independent variable (X). She finds an F-statistic of 83.1, with p < 0.001 (see the ANOVA table below). What does this mean?
The F-statistic is a measure of predictive power, and depends on the mean square for regression and the mean square error. The F-statistic is significant if the model does better in explaining the variance of the dependent variable than a model without any explanatory variables.