{"id":3515,"date":"2017-11-14T17:17:06","date_gmt":"2017-11-15T01:17:06","guid":{"rendered":""},"modified":"-0001-11-30T00:00:00","modified_gmt":"-0001-11-30T07:00:00","slug":"3515","status":"publish","type":"post","link":"https:\/\/www.vernier.com\/til\/3515","title":{"rendered":"How do I perform weighted curve fits in Logger Pro?"},"content":{"rendered":"<p>Logger <i>Pro<\/i> 3.10.1, released in September 2015, contains the new feature of weighted curve fits. This is an advanced feature, and is not needed for basic analysis. <\/p>\n<p>To use this feature, create an additional column that will contain the direct weighting factor to be used. This column could be manually entered, or it could be a calculated column. <\/p>\n<p>Create the standard Y vs X graph, and select the desired region.<br \/>\nSelect Curve Fit from the Analyze menu.<br \/>\nSelect the desired expression.<br \/>\nUsing the weight column drop-down, select the column containing the weights.<br \/>\nClick Try Fit, and then OK if the fit is acceptable. <\/p>\n<p>Direct weighting means that a point with a weight of 2 counts twice as heavily as a point with a weight of 1. <\/p>\n<p>There are many ways to use weighted curve fitting. <\/p>\n<p>-One is to force a fit to pass very close to a point; assign that point a large weight. <\/p>\n<p>-A common method of weighting is to use the inverse square of the absolute uncertainty in a reading. Create with a column containing the uncertainties, and then define a calculated column that finds the inverse squares of the uncertainties. Use these values for the direct weighting. <\/p>","protected":false},"excerpt":{"rendered":"<p>Logger Pro 3.10.1, released in September 2015, contains the new feature of weighted curve fits. This is an advanced feature, and is not needed for&#8230;<\/p>\n","protected":false},"author":8976,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[],"tags":[5966,2023,5965],"class_list":["post-3515","post","type-post","status-publish","format-standard","hentry","tag-curve-fit-least-squares","tag-direct","tag-weight"],"acf":[],"_links":{"self":[{"href":"https:\/\/www.vernier.com\/til\/wp-json\/wp\/v2\/posts\/3515","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.vernier.com\/til\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.vernier.com\/til\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.vernier.com\/til\/wp-json\/wp\/v2\/users\/8976"}],"replies":[{"embeddable":true,"href":"https:\/\/www.vernier.com\/til\/wp-json\/wp\/v2\/comments?post=3515"}],"version-history":[{"count":0,"href":"https:\/\/www.vernier.com\/til\/wp-json\/wp\/v2\/posts\/3515\/revisions"}],"wp:attachment":[{"href":"https:\/\/www.vernier.com\/til\/wp-json\/wp\/v2\/media?parent=3515"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.vernier.com\/til\/wp-json\/wp\/v2\/categories?post=3515"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.vernier.com\/til\/wp-json\/wp\/v2\/tags?post=3515"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}