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The giant outlier is Palm Beach county. We can see that it lies well beyond the range of votes this regression model would predict for Buchanan, based on the observed linear trend between total votes and votes for Buchanan across all the other counties. Calculate the residual for Palm Beach county to determine just how much larger Buchanan's vote total was compared to what we'd predict based on the election results from the other counties.

User Aungye
by
5.3k points

1 Answer

2 votes

Answer:

Hello your has some missing information attached below is the missing information

answer : 2355.62

Explanation:

Calculating the residual for Palm Beach county

Given that total votes = 430772

and The regression equation = 56.115131 + 0.0023197 * Total Votes

The predicted Buchanan = 56.115131 + 0.0023197 * 430772 = 1055.377

while the Actual Votes Buchannan = 3411

Residual for Palm Beach county = Actual votes Buchannan - Predicted

= 3411 - 1055.377 = 2355.62

Note :

b0: 56.1132

b1: 0.0023

R2: 0.4593

The statistic that tests H0: ß1= 0: 7.43

The giant outlier is Palm Beach county. We can see that it lies well beyond the range-example-1
The giant outlier is Palm Beach county. We can see that it lies well beyond the range-example-2
User OrpqK
by
5.0k points
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