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In the USStates data frame, OtherVote2020 gives the percentage of voters who voted for 3rd party candidates for president. PhysicalActivity is the percentage of residents
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. 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 greaterStep by Step Solution
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