The adjusted value of the coefficient of determination?

Question

a. will always increase if additional independent variables are added to the regression model.

b. is equal to the proportion of the sum of the squared deviations of the dependent variable from its mean that is explained by the regression model.

c. is always greater than the proportion of the sum of the squared deviations of the dependent variable from its mean that is explained by the regression model.

d. is always less than the proportion of the sum of the squared deviations of the dependent variable from its mean that is explained by the regression model.

MUHAMMED HARIS MI · Answer

Ans. Option D is the right choice>>>>>>>>>>

Ayoub Tartir , PMP, GWCPgM, CISA, CISSP, CAP, CSSLP, FITSP-D, CEH, CHFI, CCNA, CCNA Security, Security+, Network+ · Answer

d. is always less than the proportion of the sum of the squared deviations of the dependent variable from its mean that is explained by the regression model.

Nasir Hussain · Answer

d. is always less than the proportion of the sum of the squared deviations of the dependent variable from its mean that is explained by the regression model...........................................................................................................................

Emad Mohammed said abdalla · Answer

The adjusted value of the coefficient of determination The correct answer was: d. is always less than the proportion of the sum of the squared deviations of the dependent variable from its mean that is explained by the regression model.. is always less than the proportion of the sum of the squared deviations of the dependent variable from its mean that is explained by the regression model.

mohamed badawy · Answer

option d ....................................................................

Mohammed Fathe Shaheem · Answer

d...............................................................................................

khaled elkholy · Answer

d. is always less than the proportion of the sum of the squared deviations of the dependent variable from its mean that is explained by the regression model. &&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&&77

Salvatore Augello · Answer

answer D ______________________________________________

مستخدم محذوف‎ · Answer

Agree with my mentors

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Thanks

Khaled Anwar · Answer

The answer is : option ( D ) ,,,,

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The adjusted value of the coefficient of determination?

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