Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Regression Toward the Mean01:52

Regression Toward the Mean

6.8K
Regression toward the mean (“RTM”) is a phenomenon in which extremely high or low values—for example, and individual’s blood pressure at a particular moment—appear closer to a group’s average upon remeasuring. Although this statistical peculiarity is the result of random error and chance, it has been problematic across various medical, scientific, financial and psychological applications. In particular, RTM, if not taken into account, can interfere when...
6.8K
Multiple Regression01:25

Multiple Regression

3.7K
Multiple regression assesses a linear relationship between one response or dependent variable and two or more independent variables. It has many practical applications.
Farmers can use multiple regression to determine the crop yield based on more than one factor, such as water availability, fertilizer, soil properties, etc. Here, the crop yield is the response or dependent variable as it depends on the other independent variables. The analysis requires the construction of a scatter plot...
3.7K
Regression Analysis01:11

Regression Analysis

7.6K
Regression analysis is a statistical tool that describes a mathematical relationship between a dependent variable and one or more independent variables.
In regression analysis, a regression equation is determined based on the line of best fit– a line that best fits the data points plotted in a graph. This line is also called the regression line. The algebraic equation for the regression line is called the regression equation. It is represented as:
7.6K
Microsoft Excel: Regression Analysis01:18

Microsoft Excel: Regression Analysis

1.4K
Regression analysis in Microsoft Excel is a powerful statistical method for examining the relationship between a dependent variable and one or more independent variables. It's used extensively in fields such as economics, biology, and business to predict outcomes, understand relationships, and make data-driven decisions. The most common type is linear regression, which attempts to fit a straight line through the data points to model the relationship between variables.
To perform regression...
1.4K
Mechanistic Models: Compartment Models in Individual and Population Analysis01:23

Mechanistic Models: Compartment Models in Individual and Population Analysis

204
Mechanistic models are utilized in individual analysis using single-source data, but imperfections arise due to data collection errors, preventing perfect prediction of observed data. The mathematical equation involves known values (Xi), observed concentrations (Ci), measurement errors (εi), model parameters (ϕj), and the related function (ƒi) for i number of values. Different least-squares metrics quantify differences between predicted and observed values. The ordinary least...
204
Correlation and Regression00:53

Correlation and Regression

2.9K
In statistics, correlation describes the degree of association between two variables. In the subfield of linear regression, correlation is mathematically expressed by the correlation coefficient, which describes the strength and direction of the relationship between two variables. The coefficient is symbolically represented by 'r' and ranges from -1 to +1. A positive value indicates a positive correlation where the two variables move in the same direction. A negative value suggests a...
2.9K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

What is the treatment pattern of juvenile systemic sclerosis? Results from an international cohort.

Journal of scleroderma and related disorders·2026
Same author

Standardized Interoperable Data Collection for Myositis Research: Developing Expert Consensus on Common Data Elements for Myositis Outcome Measures.

Arthritis care & research·2026
Same author

Eye Gaze Entropy Reflects Individual Experience in the Context of Driving.

Entropy (Basel, Switzerland)·2026
Same author

Discriminative Capabilities of Eye Gaze Measures for Cognitive Load Evaluation in a Driving Simulation Task.

Journal of eye movement research·2026
Same author

ProtoMTG: Prototypical Multi-Task Learning for the Generation of Multiple Stained Immunohistochemical Images.

IEEE transactions on medical imaging·2025
Same author

Open-Set Active Learning for Nucleus Detection From the Histopathological Images.

IEEE transactions on medical imaging·2025

Related Experiment Video

Updated: Dec 26, 2025

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.5K

Regression I. Experimental approaches to regression.

Yuri Alexandrov1, Brian Feldman2, Olga Svarnik1

  • 1Moscow, Russia.

The Journal of Analytical Psychology
|March 15, 2020
PubMed
Summary
This summary is machine-generated.

Regression involves reversible dedifferentiation, where older systems increase in experience during stress or disease. This process decreases behavioral complexity across various situations, offering a unified mechanism for regression.

Keywords:
AlkoholEntwicklungGenGewissensentscheidungHirnJungian psychologyJungianische PsychologieKrankheitNeuronRegressionStreßSystemalcoholalcoolbraincerebrocerveaucervellochoix moralcomportamento socialecomportement socialconducta socialdesarrollodevelopmentdiseasedéveloppementelección moralenfermedadesperienza individualeestrésexperiencia individualexpérience individuellegenegèneindividual experiencemaladiemalattiamoral choiceneuronneuronaneuronepersönliche Erfahrungpsicologia junghianapsicología Junguianapsychologie jungienneregresiónregressionregressionerégressionscelta moralesistemasocial behavioursoziales Verhaltenstresssvilupposystemsystèmeалкогольболезньгениндивидуальный опытмозгморальный выборнейронразвитиерегрессиясистемасоциальное поведениестрессюнгианская психология荣格心理学, 退行, 酒精, 压力, 疾病, 社会行为, 个体经验, 发展, 系统, 神经元, 脑, 基因, 道德选择

More Related Videos

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

6.2K
Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

17.0K

Related Experiment Videos

Last Updated: Dec 26, 2025

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients
07:34

Probing the Limits of Egg Recognition Using Egg Rejection Experiments Along Phenotypic Gradients

Published on: August 22, 2018

8.5K
The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
14:14

The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups

Published on: May 13, 2022

6.2K
Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study
20:24

Characterization of Complex Systems Using the Design of Experiments Approach: Transient Protein Expression in Tobacco as a Case Study

Published on: January 31, 2014

17.0K

Area of Science:

  • Psychology
  • Neuroscience
  • Genetics

Background:

  • The concept of regression, a return to earlier developmental stages, is explored.
  • Key differences in the significance of regression between Freud and Jung are highlighted.

Purpose of the Study:

  • To analyze experimental data on individual experience dynamics during regression.
  • To propose common mechanisms underlying regression across diverse situations.

Main Methods:

  • Examined gene expression and neuronal activity in animals.
  • Assessed prosocial behavior in humans across different ages and conditions (chronic pain).
  • Investigated regression during stress, disease, learning, emotional states, and alcohol intoxication.

Main Results:

  • Identified common mechanisms for regression across various conditions.
  • Described regression as reversible dedifferentiation: an increase in less-differentiated system representation.
  • Observed a significant decrease in behavioral complexity during dedifferentiation.

Conclusions:

  • Proposes a unified mechanism of reversible dedifferentiation for regression.
  • Suggests regression is a fundamental process impacting experience and behavior.
  • Highlights the decrease in systemic organization complexity as a key outcome of regression.