Consider a comparison of two models. The "complete" model has both curvature and interaction. The "reduced" model has curvature,
but no interaction. You compare the two models using a nested (subset) F-test and determine that you should "reject H0 ". True or False: The reduced model fits the data better than the complete model. Group of answer choicesTrueFalse
The reduced model and complete are the two models that can be used to determine test the hypothesis. The best way to determine which model fits the data set is to determine the F-test. The Full model is unrestricted model whereas reduced model is restricted model. F-test determines which model to choose for hypothesis testing for better and accurate results.
For this you count rise over run aka how many up divided by how many over starting from 0. here it’s 7 up and 3.5 side, 7 divided by 3.5 is 2 and the line is going down so it’s negative 2 (D)
