Visualisation of Lines of Best Fit.

Michael Rudziewicz; Michael J. Bossé; Eric S. Marland; Gregory S. Rhoads

Visualisation of Lines of Best Fit.

Michael Rudziewicz
, Michael J. Bossé
, Eric S. Marland
, Gregory S. Rhoads

Appalachian State University

Appalachian State University

Research output: Contribution to journal › Article › peer-review

Original language	American English
Journal	International Journal for mathematics teaching and learning
Volume	18
State	Published - Jan 1 2017

Disciplines

Statistics and Probability
Mathematics

Cite this

@article{ecd7cd69fbc24ef78223e65bbefa364b,

title = "Visualisation of Lines of Best Fit.",

author = "Michael Rudziewicz and Boss{\'e}, \{Michael J.\} and Marland, \{Eric S.\} and Rhoads, \{Gregory S.\}",

note = "Humans possess a remarkable ability to recognise both simple patterns such as shapes and handwriting and very complex patterns such as faces and landscapes. To investigate one small aspect of human pattern recognition, in this study participants position lines of {"}best fit{"} to two-dimensional scatter plots of data.",

year = "2017",

month = jan,

day = "1",

language = "American English",

volume = "18",

journal = "International Journal for mathematics teaching and learning",

}

TY - JOUR

T1 - Visualisation of Lines of Best Fit.

AU - Rudziewicz, Michael

AU - Bossé, Michael J.

AU - Marland, Eric S.

AU - Rhoads, Gregory S.

N1 - Humans possess a remarkable ability to recognise both simple patterns such as shapes and handwriting and very complex patterns such as faces and landscapes. To investigate one small aspect of human pattern recognition, in this study participants position lines of "best fit" to two-dimensional scatter plots of data.

PY - 2017/1/1

Y1 - 2017/1/1

UR - https://eric.ed.gov/?id=EJ1164205

M3 - Article

VL - 18

JO - International Journal for mathematics teaching and learning

JF - International Journal for mathematics teaching and learning

ER -