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Residual sum of squares
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21	Simple Linear Regression (SLR) Dr. Saed Sayad University of Toronto[removed]removed] Add to Reading List Source URL: chem-eng.utoronto.ca Language: English - Date: 2010-02-25 17:26:47 Simple linear regression Residual sum of squares Ordinary least squares Least squares Errors and residuals in statistics Partial regression plot Statistics Regression analysis Linear regression
22	G04 – Analysis of Variance G04BBF NAG Fortran Library Routine Document G04BBF Add to Reading List Source URL: nag.com Language: English - Date: 2011-03-16 22:50:28 Analysis of variance Statistical tests Design of experiments Degrees of freedom Errors and residuals in statistics Partition of sums of squares Sum of squares Residual sum of squares Variance Statistics Regression analysis Least squares
23	Stat 511 HW#7 Spring[removed]revised) 1. The classic textbook Statistics for Experimenters by Box, Hunter and Hunter contains a small data set taken originally from the paper "Evaluation of methods for estimating biochemic Add to Reading List Source URL: www.public.iastate.edu Language: English - Date: 2003-03-11 21:31:40 Least squares Errors and residuals in statistics Biochemical oxygen demand Statistics Regression analysis Residual sum of squares
24	LINEST in Excel The Excel spreadsheet function "linest" is a complete linear least squares curve fitting routine that produces uncertainty estimates for the fit values. There are two ways to access the "linest" function Add to Reading List Source URL: www.colby.edu Language: English - Date: 2002-08-20 11:48:48 Statistical tests Estimation theory Parametric statistics F-test Residual sum of squares Variance Degrees of freedom Linear least squares Spreadsheet Statistics Regression analysis Least squares
25	[removed]Annotated Assignment • psychinfo • additional links on resources • example Add to Reading List Source URL: www.sonoma.edu Language: English - Date: 2012-11-25 13:13:47 Coefficient of determination Errors and residuals in statistics Least squares Residual sum of squares Standard score Standard deviation Variance Statistics Regression analysis Linear regression
26	Gerhard Tutz & Jan Gertheiss Feature Extraction in Signal Regression: A Boosting Technique for Functional Data Regression Technical Report Number 011, 2007 Add to Reading List Source URL: epub.ub.uni-muenchen.de Language: English - Date: 2012-05-22 04:48:34 Elastic net regularization Instrumental variable Least squares Partial least squares regression Residual sum of squares Outline of regression analysis Variance inflation factor Statistics Regression analysis Linear regression
27	METHODS QUALIFYING EXAM January 2008 INSTRUCTIONS: 1. DO NOT put your NAME on the exam. Place the NUMBER assigned to you on the UPPER LEFT HAND CORNER of EACH PAGE of your exam. Add to Reading List Source URL: www.stat.tamu.edu Language: English - Date: 2008-11-17 15:24:51 Least squares Simple linear regression Residual sum of squares Variance Statistics Regression analysis Linear regression
28	From Spider-Man to Hero – Archetypal Analysis in R Manuel J. A. Eugster Friedrich Leisch Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-07-02 11:15:30 Mathematics Linear least squares Residual sum of squares Convex hull Non-linear least squares Archetype Partition of sums of squares F-test QR decomposition Statistics Regression analysis Least squares
29	Geographically Weighted Regression∗ Roger Bivand October 14, 2014 Geographically weighted regression (GWR) is an exploratory technique mainly intended to indicate where non-stationarity is taking place on the map, that Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-10-14 10:30:35 Spatial analysis Linear regression Residual sum of squares Multicollinearity Statistics Regression analysis Local regression
30	Package ‘rms’ September 19, 2014 Version 4.2-1 Date 2014-09-18 Title Regression Modeling Strategies Author Frank E Harrell Jr Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-09-18 18:44:56 Analysis of variance Ordinary least squares Logistic regression Linear regression Degrees of freedom Design matrix Residual sum of squares Generalized least squares Quantile regression Statistics Regression analysis F-test

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