Multiple correlation coefficient, Advanced Statistics

Multiple correlation coefficient is the correlation among the observed values of dependent variable in the multiple regression, and the values predicted by estimated regression equation. It is often used as an indicator of how useful the explanatory variables are in predicting response. The square of the multiple correlation coefficients provides the proportion of variance of the response variable which is accounted for by the explanatory variables. 

Posted Date: 7/30/2012 5:49:39 AM | Location : United States







Related Discussions:- Multiple correlation coefficient, Assignment Help, Ask Question on Multiple correlation coefficient, Get Answer, Expert's Help, Multiple correlation coefficient Discussions

Write discussion on Multiple correlation coefficient
Your posts are moderated
Related Questions
Quality-adjusted survival analysis is a method for evaluating the effects of treatment on survival which allows the consideration of quality of life as well as the quantity of lif

Collector's problem : A problem which derives from the schemes in which packets of a particular brand of coffe, cereal etc., are sold with coupons, cards, or other tokens. There ar

The graphic representation of the alternatives in a decision making problem which summarizes all the possibilities foreseen by the decision maker. For instance, suppose we are give

Median absolute deviation (MAD) : It is the very robust estimator of the scale given by the following equation   or, in other words we can say that, the median of the absolute

Principal factor analysis is the method of factor analysis which is basically equivalent to a principal components analysis performed on reduced covariance matrix attained by repl

Bioinformatics : Essentially the application of the information theory to biology to deal with the deluge of the information resulting from the advances in molecular biology. The m

Asymmetric proximity matrices : Proximity matrices in which the non-diagonal elements, in the ith row and jth column and the jth row and ith column, are not essentially equal. Exam

Quantile regression is an extension of the classical least squares from estimation of the conditional mean models to the estimation of the variety of models for many conditional q

The number of employees absent from work at a large electronics manufacturing plant over aperiod of 106 days is given in the table below. 146 141 139 140 145 141 142 131 142 140

Discuss the use of dummy variables in both multiple linear regression and non-linear regression. Give examples if possible