Regression coefficient, Applied Statistics

Regression Coefficient

While analysing regression in two related series, we calculate their regression coefficients also. There are two regression coefficients like two regression equations. Regression  equation  is that ratio  which tells  that with  a changes  of 1 in one series  what will be  an average  changes  in other series. In reality it is an algebraic measurement of the slope of regression line, means it decides the slope of regression line. 

Posted Date: 9/27/2012 6:28:11 AM | Location : United States







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

Write discussion on Regression coefficient
Your posts are moderated
Related Questions
Let X, Y, and Z refer to the three random variables. It is known that Var(X) = 4, Var(Y) = 9, and Var(Z) = 16. It is further known that E(X) = 1, E(Y) = 2, and E(Z) = 4. Furthermor

Statistical Process Control The variability present in manufacturing process can either be eliminated completely or minimized to the extent possible. Eliminating the variabilit

construction of control chart,n chart

A monopolist firm''s demand curve is given by P:100-2q. (a) Find its marginal revenue function.

Q. The following system of equations illustrates the algebraic form of a partial (individual) market equilibrium model, which is a model of price (P) and quantity (Q) determination

Types of cost-reimbursable contracts are:   Cost Plus Fixed Fee contract (CPPF): Compensation is based on a fixed sum independent of the final project cost. The customer a

The regression line should be drawn on the scatter diagram in such a way that when the squared values of the vertical distance from each plotted point to the line are added, the to

Difference between Correlation and Regression Analysis 1. Degree and Nature  of Relationship: Coefficient of correlation measures   the degree  of covariance  between two vari

What type of correlation coefficient would you use to examine the relationship between the following variables? Explain why you have selected the correlation coefficients. A. Re

Perform clustering of the unlabeled data set. You could use provided initial centroids set or generate your own. Also there could be considered next stopping criteria : - maxim