Figure - PMC

Skip to main content

An official website of the United States government

Here's how you know

Here's how you know

Official websites use .gov
A .gov website belongs to an official government organization in the United States.

Secure .gov websites use HTTPS
A lock ( ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

View full-text article in PMC

. 2019 Feb 12;8:36. doi: 10.1186/s13756-019-0492-8

Search in PMC
Search in PubMed
View in NLM Catalog
Add to search

© The Author(s). 2019

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

PMC Copyright notice

Fig. 3 — Association between prevalence of ceftriaxone resistance among urinary Escherichia coli isolates and region of birth of residents. Each point represents aggregate data from one postcode. Intensity of the point represents number of E. coli isolates represented (postcodes with less than 20 isolates have been omitted). Line of best fit computed using linear regression to predict prevalence of ceftriaxone resistance from proportion of residents born in the relevant geographic region, weighted by number of isolates. The p-values test the null hypothesis that the line of best fit has a coefficient (slope) of zero. R² values represent the proportion of variation between postcodes in prevalence of ceftriaxone resistance that is explained by the model