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1. Regression: Tree Rings and Measuring Things

   03 Apr 2021 | Teaching Materials | Contributor(s):

   By Greg Wiggins¹, Suzanne Lenhart²

   1. Department of Mathematics, University of Tennessee, Knoxville 2. University of Tennessee

   Students develop scatter plots of growth rings by tree diameters and determine the equation of their best fit line.

   https://qubeshub.org/publications/2266/?v=1

2. Striped Bass: A Regulatory Success Story

   12 Jul 2019 | Teaching Materials | Contributor(s):

   By J. Alexander McCrickard¹, Angela Hanretty¹, Amanda Thompson¹

   Virginia Commonwealth University

   This module examines the Maryland striped bass moratorium (1985-1989) as a fisheries management success story. Maryland DNR striped bass young of the year data is utilized for least squares linear...

   https://qubeshub.org/publications/1347/?v=1

3. Avian Censys Analysis

   23 Jan 2019 | Teaching Materials | Contributor(s):

   By Darcy Taniguchi

   California State University San Marcos

   This Swirl course uses ecological data of bird counts and habitat variables to estimate inter-observer variability and the relationship of birds with habitat variables.

   https://qubeshub.org/publications/1025/?v=1

4. A Very Basic Tutorial for Performing Linear Mixed Effects Analyses: Tutorial 2

   20 Oct 2018 | Teaching Materials | Contributor(s):

   By Bodo Winter

   University of California, Merced

   The second of two tutorials that introduce you to linear and linear mixed models. This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models.

   https://qubeshub.org/publications/833/?v=1

5. Linear Models and Linear Mixed Effects in R: Tutorial 1

   20 Oct 2018 | Teaching Materials | Contributor(s):

   By Bodo Winter

   University of California, Merced

   The first of two tutorials that introduce you to linear and linear mixed models.

   https://qubeshub.org/publications/832/?v=1

6. Advancing population ecology with integral projection models: a practical guide

   20 Oct 2018 | Teaching Materials | Contributor(s):

   By Cory Merow¹, Johan Dahlgren², Jessica Metcalf³, Dylan Childs⁴, Margaret Evans⁵, Eelke Jongejans⁶, Sydne Record⁷, Mark Rees⁴, Roberto Salguero-Gómez⁸, Sean McMahon⁹

   1. Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA 2. Department of Ecology, Environment and Plant Sciences, Stockholm University, Stockholm, Sweden 3. Department of Zoology, Oxford University, Oxford, UK 4. Department of Animal and Plant Sciences, University of Sheffield, Sheffield, UK 5. Laboratory of Tree-Ring Research and Department of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA 6. Department of Animal Ecology and Ecophysiology, Institute for Water and Wetland Research, Radboud University Nijmegen, Nijmegen, The Netherlands 7. Harvard University, Harvard Forest, Petersham, MA, USA 8. Centre for Biodiversity and Conservation Science, University of Queensland, St Lucia, Qld, Australia 9. Smithsonian Environmental Research Center, Edgewater, MD, Edgewater, MD, USA

   Integral projection models (IPMs) use information on how an individual's state influences its vital rates – survival, growth and reproduction – to make population projections using regression...

   https://qubeshub.org/publications/824/?v=1

7. Chapter 17: Regression (cont'd)

   Collections | 19 Apr 2016 | Posted by Drew LaMar

   https://qubeshub.org/community/groups/introbiostats/collections/timeline

8. Chapter 17: Regression

   Collections | 15 Apr 2016 | Posted by Drew LaMar

   https://qubeshub.org/community/groups/introbiostats/collections/timeline

9. AIMS: Dendroclimatology

   out of 5 stars 

   21 Dec 2015 | | Contributor(s):: Stockton Maxwell, Jeremy M Wojdak

   This resource has been updated - find the current version here: https://qubeshub.org/publications/544/The AIMS (Analyzing Images to learn Mathematics and Statistics) project was founded on the idea that students don't often care much about analysis until they care about...

10. A very basic tutorial for performing linear mixed effects analyses: Tutorial 2

    out of 5 stars 

    24 Apr 2015 | | Contributor(s):: Bodo Winter

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/833This tutorial serves as a quick boot camp to jump-start your own analyses with linear mixed effects models. This text is different from other introductions by being decidedly...

11. Linear models and linear mixed effects models in R: Tutorial 1

    out of 5 stars 

    24 Apr 2015 | | Contributor(s):: Bodo Winter

    This resource has been updated - find the current version here: https://qubeshub.org/qubesresources/publications/832Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce...