{"id":52935,"date":"2021-09-23T19:41:47","date_gmt":"2021-09-23T19:41:47","guid":{"rendered":"https:\/\/papersspot.com\/blog\/2021\/09\/23\/5\/"},"modified":"2021-09-23T19:41:47","modified_gmt":"2021-09-23T19:41:47","slug":"5","status":"publish","type":"post","link":"https:\/\/papersspot.com\/blog\/2021\/09\/23\/5\/","title":{"rendered":"5"},"content":{"rendered":"<p>In the MinnLand dataset in the alr4 package, fit two possible models with log(acrePrice) or sqrt(acrePrice) as the response, use year as a factor as well. I want to better understand land prices and the drivers. Use methods to develop two possible candidate models and compare them using <br \/> #5 Fold Cross Validation <br \/> #10 Fold Cross Validation <br \/> #Random Splitting with 1000 splits. <br \/> I only want to use parallel computing where you can\/need, and function writing where you can\/need because there are 18,700 observations. Before starting this analysis remove ALL NA&#8217;s from the data using na.omit(MinnLand). In each of the above cases comment on the models you would select and how you came about that decision. I&#8217;m studying insights it may have on the land prices in Minnesota over this time frame. <\/p>\n","protected":false},"excerpt":{"rendered":"<p>In the MinnLand dataset in the alr4 package, fit two possible models with log(acrePrice) or sqrt(acrePrice) as the response, use year as a factor as well. I want to better understand land prices and the drivers. Use methods to develop two possible candidate models and compare them using #5 Fold Cross Validation #10 Fold Cross [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[10],"class_list":["post-52935","post","type-post","status-publish","format-standard","hentry","category-research-paper-writing","tag-writing"],"_links":{"self":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts\/52935","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/comments?post=52935"}],"version-history":[{"count":0,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/posts\/52935\/revisions"}],"wp:attachment":[{"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/media?parent=52935"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/categories?post=52935"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/papersspot.com\/blog\/wp-json\/wp\/v2\/tags?post=52935"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}