Method of Detection Effects of the Departures/Violations on Assumptions violations on the Remedial Measures Graphical Statistical model 1. The values of the regressors, the X's, are not fixed or random, or X values are not independent of the error term. 2. There is exact linear relationship or exact collinearity between the X variables. 3. For given X's, the mean value of disturbance ɛ, is not equal to zero. 4. For given X's, there is autocorrelation, or serial correlation, between the disturbances. 5. The number of observations n is less than or equal to the number of parameters to be estimated. 6. The model is incorrectly specified, so there is specification bias. 7. There are errors in the measurement of variables of the model.

Method of Detection Effects of the Departures/Violations on Assumptions violations on the Remedial Measures Graphical Statistical model 1. The values of the regressors, the X's, are not fixed or random, or X values are not independent of the error term. 2. There is exact linear relationship or exact collinearity between the X variables. 3. For given X's, the mean value of disturbance ɛ, is not equal to zero. 4. For given X's, there is autocorrelation, or serial correlation, between the disturbances. 5. The number of observations n is less than or equal to the number of parameters to be estimated. 6. The model is incorrectly specified, so there is specification bias. 7. There are errors in the measurement of variables of the model.

MATLAB: An Introduction with Applications

6th Edition

ISBN:9781119256830

Author:Amos Gilat

Publisher:Amos Gilat

Chapter1: Starting With Matlab

Section: Chapter Questions

Problem 1P

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