For a dataset with variables related to heart disease you have a saturated model with maximized loglikelihood of 190 and df = 10 and a reduced model, where the 4 dummy variables that categorized the weight level of each individual (Weight Level had 5 levels) where removed, had a maximized loglikelihood of 186, and using an alpha level of .05 what can we conclude about weight level?

Select all the correct answers

1) All of the betas for the dummy variables related to weight level are likely not equal to zero.

2) The variable weight level improves the model.

3)All of the betas for the dummy variables related to weight level are likely equal to zero.

4)At least one of the betas for the dummy variables related to weight level are likely not equal to zero.

5)The variable of weight level does not improve the model.

6) At least one of the betas for the dummy variables related to weight level are likely equal to zero.

explain it clearly and need only typed answers

Thank you