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Category > Economics Posted 17 May 2017 My Price 5.00

run the model

Your are given the following linear regression:

log(Si) = β'0+β'1Ti+β'2log(Ei)+β'3log(Pi)+β'4log(Hi)+u'i

 

You run the model and you obtain the following output:

 

Dependent Variable: LOG(S)

Method: Least Squares

Included observations: 38

 

Variable Coefficient Std. Error t-statistic Prob.

C 2.984449 0.834359 3.576936 0.0011

T -0.196780 0.047532 -4.139928 0.0002

LOG(E) 0.295497 0.131885 2.240568 0.0319

LOGâ„— 0.385092 0.120864 3.186168 0.0031

LOG(H) -0.669259 0.055553 -12.04713 0.0000

R-squared 0.866335 Mean dependent var 2.083406

Adjusted R-squared 0.850133 S.D dependent var 0.325515

S.E. of regression 0.126016 Akaike info criterion

Sum squared resid 0.524038 Schwarz criterion

Log likelihood 27.47211 Hannan-Quinn criter.

F-statistic Durbin-Watson stat 1.946073

Prob(F-statistic) 0.000000

 

 

1. The F value you obtained is missing. Calculate it and test it for 5% significance level. The Fcritical is given as 2.65.

 

2. We do not know which model is better performed. Make use of the Coefficient of Variation and find out which model is better.

Answers

SuperTutor
(15)
Status NEW Posted 17 May 2017 12:05 AM My Price 5.00

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