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Simple linear regression
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121	Chapter 9 Simple Linear Regression An analysis appropriate for a quantitative outcome and a single quantitative explanatory variable. 9.1 Add to Reading List Source URL: www.stat.cmu.edu Language: English - Date: 2013-10-20 13:22:10 Simple linear regression Data transformation Least squares Residual sum of squares Errors and residuals in statistics Dummy variable Ordinary least squares Statistics Regression analysis Linear regression
122	Technical Documentation for Household Demographics Projection REMI Household Forecast is a tool to complement the PI+ demographic model by providing comprehensive forecasts of a variety of household characteristics. Our Add to Reading List Source URL: www.remi.com Language: English - Date: 2013-10-25 09:17:56 Estimation theory Parametric statistics Linear regression Simple linear regression Multicollinearity Statistics Regression analysis Econometrics
123	Using Efficiency Tests to Reduce Revisions in Panel Data: The Case of Wage and Salary Estimates for U.S. States Jeremy J. Nalewaik WP2004-09 First draft: November 2004 Add to Reading List Source URL: faq.bea.gov Language: English - Date: 2011-05-23 12:29:00 Time series analysis Data analysis Analysis of variance Weighted mean Mean Variance Autoregressive conditional heteroskedasticity Simple linear regression Errors and residuals in statistics Statistics Econometrics Regression analysis
124	THE HERITAGE FOUNDATION Methodology D Add to Reading List Source URL: thf_media.s3.amazonaws.com Language: English - Date: 2014-07-23 15:14:26 Estimation theory Parametric statistics Statistical models Linear regression Simple linear regression Coefficient of determination Dummy variable Outline of regression analysis Polynomial regression Statistics Regression analysis Econometrics
125	STATISTICAL ANALYSIS 2008 STATISTICS FOR HISTORICAL TREND ANALYSIS For those lakes and ponds that have participated in VLAP for at least 10 consecutive years, we are now analyzing the in-lake data with a simple statistic Add to Reading List Source URL: des.nh.gov Language: English - Date: 2013-03-10 05:00:00 Regression analysis Econometrics Design of experiments Null hypothesis Statistical hypothesis testing Alternative hypothesis Linear regression Parameter Test statistic Statistics Hypothesis testing Statistical inference
126	A Handbook of Statistical Analyses Using R — 2nd Edition Brian S. Everitt and Torsten Hothorn CHAPTER 14 Add to Reading List Source URL: cran.r-project.org Language: English - Date: 2014-08-19 11:28:20 Estimation theory Econometrics Statistical inference Confidence band Linear regression Simple linear regression Multiple comparisons Normal distribution Statistics Regression analysis Parametric statistics
127	Fitting Equations Idea: The variable of interest (dependent variable, yi) is hard to measure. There are “easy to measure” variables (predictor/ independent) that are related to the variable of interest, labeled x1 Add to Reading List Source URL: biometrics.forestry.ubc.ca Language: English - Date: 2013-06-11 13:13:06 Least squares Linear regression Residual sum of squares Errors and residuals in statistics Coefficient of determination Dummy variable Linear least squares Degrees of freedom Variance Statistics Regression analysis Simple linear regression
128	Multiple Linear Regression Simple Linear Regression Regression equation for a line (population): y = β 0 + β 1x +  β0 : point where the line intercepts y-axis Add to Reading List Source URL: www.howardsei.org Language: English - Date: 2014-09-04 13:29:58 Estimation theory Parametric statistics Covariance and correlation Linear regression Partial correlation Least squares Simple linear regression Variance Correlation and dependence Statistics Regression analysis Econometrics
129	On Estimating the Relationship between Longitudinal Measurements and Time-to-Event Data Using a Simple Two-Stage Procedure Paul S. Albert and Joanna H. Shih Biometric Research Branch Division of Cancer Treatment and Diag Add to Reading List Source URL: linus.nci.nih.gov Language: English - Date: 2013-03-12 10:01:33 Data analysis Parametric statistics Estimation theory Linear regression Variance Bootstrapping Standard error Normal distribution Simple linear regression Statistics Regression analysis Econometrics
130	The Robust Beauty of Improper Linear Models in Decision Making ROBYN M. DAWES ABSTRACT: Proper linear models are those in which predictor variables are given weights in such a way Add to Reading List Source URL: heatherlench.com Language: English - Date: 2008-07-26 00:14:51 Unit-weighted regression Linear regression Multiple correlation Validity Causality Simple linear regression Nonparametric regression Instrumental variable Statistics Regression analysis Proper linear model

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