Question: ## k-Nearest Neighbors ## ## 2049 samples ## 80 predictor ## ## No pre-processing ## Resampling: Cross-Validated ( 10 fold, repeated 5 times) ## Summary

$\#\# k-Nearest Neighbors \#\# \#\# 2049 samples \#\# 80 predictor \#\#$

\#\# k-Nearest Neighbors \#\# \#\# 2049 samples \#\# 80 predictor \#\# \#\# No pre-processing \#\# Resampling: Cross-Validated ( 10 fold, repeated 5 times) \#\# Summary of sample sizes: 1844,1844,1843,1844,1844,1845, \#\# Resampling results across tuning parameters: 1 using the smallest value. HH Ine Inal value used ior the model was k=6. ggplot(knn_fit) You have been hired as a consultant by a realtor in Ames, lowa to analyze this data. They ask you for a short (1-2 paragraph) executive summary explaining what your model has demonstrated. Write this paragraph. In particular, focus on explaining how the model is making predictions, and what the associated uncertainty (i.e. error) in the predictions might represent to the realtor. You may write your summary in the space provided, or attach a file if the length exceeds the maximum provided space

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