Tags: regression

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  1. The Stomata Lab. What the past can tell us about our future - using fossil and modern plants to model atmospheric carbon dioxide

    02 Nov 2023 | Teaching Materials | Contributor(s):

    By Gina Wesley1, Kelly Livernoche1, Sean McNamara2, William Gretes3, Allison Bell, Kiersten Newtoff1, Jeff Leips4, Richard Barclay5, Heather Killen5

    1. Montgomery College 2. Community College of Baltimore County 3. Howard Community College 4. University of Maryland Baltimore County 5. Smithsonian National Museum of Natural History

    Students will develop a mathematical model of the relationship between atmospheric CO2 and the number of stomata on a leaf (Stomata Index). They will evaluate the model graphically, statistically,...

    https://qubeshub.org/publications/4541/?v=1

  2. 1-104A-T-InfectionRisk-ModelingScenario

    13 Jun 2023 | Teaching Materials | Contributor(s):

    By Qingxia Li1, Jennie D'Ambroise2

    1. Fisk University 2. SUNY Old Westbury

    This project is designed to examine differences between the exponential and logistic growth models in biology and how to apply these models in solving epidemic questions and comparing to actual...

    https://qubeshub.org/publications/4420/?v=1

  3. 2001-Knisley-Kerley-Using data to motivate the models used in introductory differential equations

    03 Apr 2023 | Teaching Materials | Contributor(s):

    By Jeff Knisley1, Lyndell Kerley1

    NA

    In this paper, the data itself is used to motivate mathematical models in introductory mathematics courses. In doing so, various regression and optimization techniques are illustrated.

    https://qubeshub.org/publications/3948/?v=1

  4. 1988-EY_Rodin-N_Taber-Yeast Growth Modelling in a Laboratory

    23 Mar 2023 | Teaching Materials | Contributor(s):

    By E Y Rodin1, Norma Taber1

    NA

    Modeling simple growth with some missing data and doing linear regression for parameter estimation in closed form solution of differential equation model and data.

    https://qubeshub.org/publications/3860/?v=1

  5. 2018-Weber_Theers_Surmann_Ligges_Weihs-Sensitivity Analysis_of_Ordinary_Differential_Equation_Models

    09 Mar 2023 | Teaching Materials | Contributor(s):

    By Frank Weber

    NA

    This report will focus on the sensitivity analysis of ordinary differential equation (ODE) models since they can be used to model so-called Low Frequency Oscillations (LFOs).

    https://qubeshub.org/publications/3750/?v=1

  6. 2019-Stender_EtAl-Recovery_Of_Differential_Equations_From_Impulse_Response

    08 Mar 2023 | Teaching Materials | Contributor(s):

    By Merton Stendel

    NA

    In this work, a recent method, which allows reconstructing differential equations from time series data, is extended for higher degrees of automation.

    https://qubeshub.org/publications/3734/?v=1

  7. Linear Regression (Excel) and Cellular Respiration for Biology, Chemistry and Mathematics

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

    By Irene Corriette1, Beatriz Gonzalez1, Daniela Kitanska2, Henriette Mozsolits2, Sheela Vemu3

    1. Santa Fe College 2. Passaic County Community College 3. Waubonsee Community College

    Students typically find linear regression analysis of data sets in a biology classroom challenging. These activities could be used in a Biology, Chemistry, Mathematics, or Statistics course. The...

    https://qubeshub.org/publications/2811/?v=1

  8. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. Chapter 17: Regression (cont'd)

    Collections | 19 Apr 2016 | Posted by Drew LaMar

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

  15. Chapter 17: Regression

    Collections | 15 Apr 2016 | Posted by Drew LaMar

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

  16. AIMS: Dendroclimatology

    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...

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

    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...

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

    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...