Regression analysis, Advanced Statistics

The regression analysis is used to fit a model describing the relationship of a dependent variable with independent variable(s). Here we have fitted three regression models:

  1. Regression of Intrinsic Job Satisfaction on Benefit
  2. Regression of Extrinsic Job Satisfaction on Benefit
  3. Regression of Overall Job Satisfaction on Benefit

Once we fit the models, we will compare these three models.

 

 

Posted Date: 10/1/2012 8:10:39 AM | Location : United States







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

Write discussion on Regression analysis
Your posts are moderated
Related Questions
This is extension of the EM algorithm which typically converges more slowly than EM in terms of the iterations but can be much faster in the whole computer time. The general idea o

Randomized encouragement trial   is the clinical trials in which the participants are encouraged to change their behaviour in a particular manner (or not, if they are allocated to

Attack rate : This term frequently used for the incidence of the disease or condition in the particular group, or during a limited interval of time, or under the special circumstan

Higher criticism is a multiple-comparison test concept arising from the situation where there are number of independent tests of significance and interest lies in the rejecting jo

1.Sam Lucarelli, owner of Lucarelli Products, is evaluating whether to produce a new product line. After thinking through the production process and the costs of raw materials and

Lorenz curve : Essentially the graphical representation of cumulative distribution of the variable, most often used for the income. If the risks of disease are not monotonically in


#how to analyse data

The computer programs designed to mimic the role of the expert human consultant. This type of systems are capable to cope with the complex problems of the medical decision makin

The method or technique for producing the sequence of parameter estimates that, under the mild regularity conditions, converges to maximum likelihood estimator. Of particular signi