MODEL CDependent Variable: PSODAMethod: Least SquaresSample: 1410Included observations: 391VariableCoefficientStd. Errort-StatisticProb.C0.5877030.03128818.783660.0000PRPBLCK0.0365660.0191341.9110170.0567INCOME-1.09E-072.68E-07-0.4059900.6850BK0.0665770.0091237.2975490.0000KFC0.0381090.0103443.6842570.0003RR0.0838310.0108987.6926830.0000NJ0.0427350.0086734.9274770.0000PFRIES0.4002420.03591011.145730.0000R-squared0.558109Mean dependent var1.044962Adjusted R-squared0.550032S.D. dependent var0.088419S.E. of regression0.059311Akaike info criterion-2.791796Sum squared resid1.347315Schwarz criterion-2.710595Log likelihood553.7961F-statistic69.104150.000000Durbin-Watson stat1.858383Prob(F-statistic) Question 6Does model C violate an important assumption? If so, which one?Model C has omit variable bias.Model C violates the assumption of no perfect collinearityModel C violates the zero conditional mean assumption.O Model C has multicollinearity issue.

Yes. Model C violate an important assumption. Model C violates the zero conditional mean assumption.

Does model C violate an important assumption? If so, which one? O Model C has omit variable bias. Model C violates the assumption of no perfect collinearity Model C violates the zero conditional mean assumption. Model C has multicollinearity issue.

Does model C violate an important assumption? If so, which one? O Model C has omit variable bias. Model C violates the assumption of no perfect collinearity Model C violates the zero conditional mean assumption. Model C has multicollinearity issue.

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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