In theUSStates data frame,OtherVote2020 gives the percentage of voters who voted for 3rd party candidates for president.PhysicalActivity is the percentage of residents who have competed in a physical activity in past month.Region is the part of the country the state is in, either MW (midwest), NE (northeast), W (west), or S (south).

Here is the ANOVA table for predicting OtherVote2020 based onPhysicalActivity:

Analysis of Variance Table (Type III SS) Model: OtherVote2020 - PhysicalActivity ss df MS F PRE P Model (error reduced) 7. 047 1 7.047 18.251 0.2797 .0001 Error ( from model) 18. 147 47 0.386 - . . . . ... Total (empty model) 25 . 194 48 0.525 Here is the ANOVA table for predicting OtherVote2020 based on Region: Analysis of Variance Table (Type III SS) Model: OtherVote2020 - Region ss df MS F PRE P Model (error reduced) 8.385 3 2. 795 7. 644 0.3327 .0003 Error ( from model) 16.820 46 0.366 Total (empty model) 25.205 49 0.514 Which model helps you make better predictions for OtherVote2020? (In other words, which model reduces more error?) O The PhysicalActivity model, because the p is smaller. O The PhysicalActivity model, because the SS_Model and PRE are smaller. O The Region model, because the SS_Model and PRE are greater. O The Region model, because the p is greater