Tag | Value |
---|---|
file | Inferential_Statistics_vufsw-f-test_for_comparing_nested_models-1268-en_vufsw-f-test_for_comparing_nested_models-1268-en |
name | vufsw-f-test for comparing (nested) models-1268-en |
section | inferential statistics/regression/multiple linear regression/f-test for comparing (nested) models |
type | schoice |
solution | FALSE, FALSE, FALSE, TRUE |
Type | conceptual |
Program | NA |
Language | English |
Level | statistical reasoning |
Suppose the F-value in a multivariate regression is significant. Which conclusion(s) can you draw?
I. The effects of all independent variables are significant.
II. The explained variance of the regression model is in any case higher
than 1.96.
Neither statement is correct. If the F is significant the model as a whole is significant but you can not say anything about the separate variables. The explained variance can never be more than 100% or 1.0. The 1.96 is the critical value of the t test.
M&T Bivariate linear regression
Bivariate linear regression
M&T Multivariate linear regression
Default value