Regression analysis | Errors and residuals | Statistical deviation and dispersion
In statistics and optimization, errors and residuals are two closely related and easily confused measures of the deviation of an observed value of an element of a statistical sample from its "true value" (not necessarily observable). The error of an observation is the deviation of the observed value from the true value of a quantity of interest (for example, a population mean). The residual is the difference between the observed value and the estimated value of the quantity of interest (for example, a sample mean). The distinction is most important in regression analysis, where the concepts are sometimes called the regression errors and regression residuals and where they lead to the concept of studentized residuals.In econometrics, "errors" are also called disturbances. (Wikipedia).
What are Residuals in Regression?
Brief intro to residuals in regression. What they are and what they look like in relation to a line of best fit. Sum and mean of residuals.
From playlist Regression Analysis
Yes. I make mistakes ... rarely. http://www.flippingphysics.com
From playlist Miscellaneous
I recently uploaded 200 videos that are much more concise with excellent graphics. Click the link in the upper right-hand corner of this video. It will take you to my youtube channel where videos are arranged in playlists. In this older video: Understanding and interpreting residual plot
From playlist Older Statistics Videos and Other Math Videos
What Are Error Intervals? GCSE Maths Revision
What are error Intervals and how do we find them - that's the mission in this episode of GCSE Maths minis! Error Intervals appear on both foundation and higher tier GCSE maths and IGCSE maths exam papers, so this is excellent revision for everyone! DOWNLOAD THE QUESTIONS HERE: https://d
From playlist Error Intervals & Bounds GCSE Maths Revision
Using residuals to analyze the data
From playlist Unit 3: Linear and Non-Linear Regression
Comparison of systematic and random error. Types of systematic error, including offset error and scale factor error/
From playlist Experimental Design
Brief intro the the linear regression formula and errors.
From playlist Regression Analysis
A discrete signal has to be reconstructed to get back into the continuous domain.
From playlist Discrete
Ensembles (3): Gradient Boosting
Gradient boosting ensemble technique for regression
From playlist cs273a
Stanford EE104: Introduction to Machine Learning | 2020 | Lecture 8 - non quadratic losses
Professor Sanjay Lall Electrical Engineering To follow along with the course schedule and syllabus, visit: http://ee104.stanford.edu To view all online courses and programs offered by Stanford, visit: https://online.stanford.edu/
From playlist Stanford EE104: Introduction to Machine Learning Full Course
Genevieve Dusson - Error bounds for properties in planewave electronic structure calculations
Recorded 06 May 2022. Genevieve Dusson of the Université de Franche-Comté (Besançon), Laboratoire de Mathématiques, presents "Error bounds for properties in planewave electronic structure calculations" at IPAM's Large-Scale Certified Numerical Methods in Quantum Mechanics Workshop. Abstrac
From playlist 2022 Large-Scale Certified Numerical Methods in Quantum Mechanics
Basic Excel Business Analytics #47: SST = SSR + SSE & R Squared & Standard Error of Estimate
Download files: https://people.highline.edu/mgirvin/AllClasses/348/348/AllFilesBI348Analytics.htm Learn: 1) (00:14) What we will do in this video: SST, SSR, SSE, R^2 and Standard Error 2) (00:44) What we did last video 3) (01:11) How do we think about “How good our Estimated Regression Li
From playlist Excel Business Analytics (Forecasting, Linear Programming, Simulation & more) Free Course at YouTube (75 Videos)
Mod-12 Lec-33 Regression Models with Autocorrelated Errors
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics
Linear Regression Made Easy! The Epic Full Story with all Details. Excel Statistical Analysis 50
Download Excel File: https://excelisfun.net/files/Ch14-ESA.xlsm Download 2 PDF note files: https://excelisfun.net/files/Ch14-ESA.pptx, Download Deductive Proof 1 PDF: https://excelisfun.net/files/Linear%20Regression%20Slope%20Deductive%20Proof.pdf Download Deductive Proof 2 PDF (short ver
From playlist Excel Statistical Analysis for Business Class Playlist of Videos from excelisfun
DDPS | Towards reliable, efficient, and automated model reduction of parametrized nonlinear PDEs
Description: Many engineering tasks, such as parametric study and uncertainty quantification, require rapid and reliable solution of partial differential equations (PDEs) for many different configurations. In this talk, we consider goal-oriented model reduction of parametrized nonlinear PD
From playlist Data-driven Physical Simulations (DDPS) Seminar Series
Model Adequacy Checking (Part B)
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics
15b Machine Learning: Gradient Boosting
Lecture on ensemble machine learning with boosting with a demonstration based on tree based boosting.
From playlist Machine Learning
Model Adequacy Checking (Part A)
Regression Analysis by Dr. Soumen Maity,Department of Mathematics,IIT Kharagpur.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Kharagpur: Regression Analysis | CosmoLearning.org Mathematics