# Search results

You can search for Regression analysis at Wikipedia or Wikiversity, learn how to search, or browse all books.

- In the Introduction chapter, it was mentioned that regression is the tool of econometrics. Here, some important terms and concepts are introduced.146 bytes (22 words) - 21:57, 24 May 2009
- Quantile Regression Topics Linear Models Binomial Outcome Models Multinomial Models Count Data Models Tobit and Selection Models Duration Analysis Multilevel591 bytes (71 words) - 16:54, 18 October 2011
- problems that will misguide our model. When we move to the multiple regression case, our goodness of fit looks much like it previously did in the bivariate1 KB (251 words) - 16:28, 25 April 2013
- Packages Prerequisites Important Terms and Concepts of Regression Analysis What is Regression? Regression versus Causation and Correlation Terminology and Notation4 KB (392 words) - 00:23, 21 June 2012
- Quantile Regression as introduced by Koenker and Bassett (1978) seeks to complement classical linear regression analysis. Central hereby is the extension27 KB (3,354 words) - 19:12, 29 November 2014
- Regression analysis is the process of building a model of the relationship between variables in the form of mathematical equations. The general purpose3 KB (491 words) - 15:16, 30 December 2012
- Regression Models Linear Models Quantile Regression Binomial Models Multinomial Models Tobit And Selection Models Count Data Models Duration Analysis2 KB (353 words) - 16:19, 24 October 2011
- regression, but regression is fully comprehensible as an abbreviated term and we will use that one henceforth. A number of examples where regression2 KB (374 words) - 09:21, 23 August 2011
- two-variable (simple) regression analysis. If we include more than one explanatory variable, it is called multiple regression analysis. The error term is assumed968 bytes (144 words) - 11:37, 23 May 2013
- Sampling distributions Inferences of means and variances Inferences concerning proportion, regression analysis Non-parametic tests and Bayesian statistics259 bytes (33 words) - 03:32, 19 January 2014
- of regression analysis include linear regression analysis, multiple regression analysis, partial regression analysis, and curvilinear regression analysis10 KB (1,465 words) - 12:09, 7 May 2010
- R) and if they meet certain conditions be further investigated by regression analysis. Commonly used hypothesis tests such as Student's T-test (for two7 KB (1,068 words) - 09:34, 5 November 2014
- below shows the regression analysis output for the first portion of the curve (before 2008) and Table 5 below shows the regression analysis output for the10 KB (1,791 words) - 07:38, 8 November 2013
- Transportation Deployment Casebook/Life Cycle of Safety Belt Legislation (section Regression analysis)system is capped at 51 (50 states plus D.C.). The results of the regression analysis provided the inflection point (), and the estimated intercept, or14 KB (2,413 words) - 04:36, 16 November 2013
- (OLS) regression (or simply "regression") is a useful tool for examining the relationship between two or more interval/ratio variables. OLS regression assumes7 KB (1,258 words) - 01:49, 8 June 2010
- Quantitative Structure Activity Relationships. This can be done by regression analysis even where there is no adequate model of the active site of the process2 KB (247 words) - 19:30, 4 March 2011
- dissociative disorders (Tutkun et al. 1998; Kluft, 1991; Spiegel, 1991). Regression analysis done in one of the studies indicated that dissociation in young adulthood2 KB (325 words) - 15:00, 7 June 2012
- HYPOTHESIS TESTING ANALYSIS OF VARIANCE SIMPLE LINEAR REGRESSION AND CORRELATION MULTIPLE REGRESSION AND CORRELATION REGRESSION ANALYSIS: SOME ADDITIONAL3 KB (231 words) - 09:28, 29 September 2015
- Graphing of Data Regression Analysis Goal seek MATLAB Solving systems of equations with symbolic math toolbox Linear and Polynomial Regression Plotting functions12 KB (1,367 words) - 08:10, 25 June 2013
- on an equal footing and there is no distinction between them. In regression analysis, crop yield is the dependent variable and rainfall is the explanatory2 KB (400 words) - 15:41, 3 December 2012