Exercise

# Fix the Manifest Heywood Model

To fix the error in the last model, we can use the `var()`

function to calculate the variance of the manifest variable that is estimated as negative. Add a new line to the model specification code that sets the variance of the manifest variable and reanalyze the model to determine if the new adoption survey can be fit to a two-factor model. You should see that the model does not produce errors after fixing the variance for the problem manifest variable.

Instructions 1/4

**undefined XP**

- Update the
`summary()`

function to view the R squared values.