Question 9 (1 point) You fit two time series models to a given dataset. The first of these reports a larger log likelihood than the other. This is evidence that the first model fits the given dataset better than the second. Question 10 (1 point) Suppose you are testing whether the residuals from a fitted model look like white noise (using a Lung-Box test). If the assumed model is incorrect, then as the number of observations in the dataset becomes larger, you are more likely to reject the null hypothesis of white noise