I used the dictionary found at this github link: https://github.com/dwyl/english-words. I took a text file form the github link that had 370099 words in it and wrote an R script that calculates the score for every word in the list, and the rest was just a matter of filtering the results. At time of posting there was not a "no-computers" tag, though I imagine it would have been appropriate.
R function for calculating score:
require(stringr) #Required for strsplit function
score<-function(word){
#Splits word into a vector of its indiidual characters and matches them
# with the index of each letter from the built in letters vector.
numbers<-match(strsplit(word,split="")[[1]],letters)
#initialize your score
sum<-0
# for loop runs through numbers to calculate score
for(i in 1:(length(numbers)-1)){
if(length(numbers)==1){sum<-0}else{
sum<-sum+abs(numbers[i]-numbers[i+1])
}
}
return(sum)
}
Alternative N=3
ZAX, 48 points, same score as YAY already answered.
N=5
ZAYAT 92 points (not Merriam Webster approved)
N=6
YAZATA 112 points (not Merriam Webster approved)
N=7
LAYAWAY 127 points
N=8
LAYAWAYS 133 points
N=9
GRAVEYARD 141 points
N=10
GRAVEYARDS 156 points
N=11
TARATANTARA 163 points
N=12
SCRAPERBOARD 161 points
N=13
OVERDRAMATIZE 174 points
N=14
BUREAUCRATIZES 191 points
N=15
VASCULARIZATION 198 points
N=16
PARAMETERIZATION 200 POINTS
N=17
BUREAUCRATIZATION 218 points
Edit: More words.
N=18
HYPERBRACHYCRANIAL 214 points
N=19
OVERARGUMENTATIVELY 226 points (not Merriam Webster approved)
N=20
MAGNETOHYDRODYNAMICS 210 POINTS
N=21
iNTERNATIONALIZATIONS 204 POINTS
N=22
HEXAHYDROXYCYCLOHEXANE 269 points (not Merriam Webster approved)