Regression diagnostics is the process designed to investigate the suppositions underlying particular forms of regression examination, for instance, homogeneity of variance, normality, etc., or to examine the influence of particular data points or small groups of data points on the estimated regression coefficients. 

 

Posted Date: 7/31/2012 9:15:09 AM | Location : United States

Ask an Expert

Related Discussions:- Regression diagnostics, Assignment Help, Ask Question on Regression diagnostics, Get Answer, Expert's Help, Regression diagnostics Discussions

Write discussion on Regression diagnostics
Your posts are moderated

Write your message here..

Related Questions

Measure of variability, what is measures of variability? what is measures of variability?

Finite population correction, This term sometimes used to describe the extr... This term sometimes used to describe the extra factor in variance of the sample mean when n sample values are drawn without the replacement from the finite population of size N. Th

Uncertainty analysis, Uncertainty analysis is the process for assessing th... Uncertainty analysis is the process for assessing the variability in the outcome variable that is due to the uncertainty in estimating the values of input parameters. A sensitivit

Estimating functions, The functions of the data and the parameters of inter... The functions of the data and the parameters of interest which can be brought in use to conduct inference about the parameters when full distribution of the observations is unknown

Evaluate the maximum flow, In the network shown below, the rst of the two ... In the network shown below, the rst of the two numbers on each arc indicates the arc capacity and the second (in parentheses) of the two numbers indicates the current  flow. Use t

Average age at death, Average age at death : A ?awed statistic summarizing ... Average age at death : A ?awed statistic summarizing expectancy of the life and other aspects of the mortality. For instance, a study comparing average age at the death for male sy

Nearest-neighbour methods, Nearest-neighbour methods are the methods of di... Nearest-neighbour methods are the methods of discriminant analysis are based on studying the training set subjects much similar to the subject to be classified. Classification mig

Regression, regression line drawn as Y=C+1075x, when x was 2, and y was 239... regression line drawn as Y=C+1075x, when x was 2, and y was 239, given that y intercept was 11. calculate the residual

Expected frequencies, A term commonly encountered in the analysis of the co... A term commonly encountered in the analysis of the contingency tables. Such type of frequencies are the estimates of the values to be expected under hypothesis of interest. In a tw

Outliers - reasons for screening data, Outliers - Reasons for Screening Dat... Outliers - Reasons for Screening Data Outliers are due to data entry errors, subject is not a member of the population that the sample is trying to represent, or the subject i