An additive model for the Gas prices is: Dependent variable is: Gas R squared = 28.6% R

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An additive model for the Gas prices is:

Dependent variable is: Gas R squared = 28.6% R squared (adjusted) = 3.3%

s = 0.5524 with 47 - 13 = 34 degrees of freedom Variable Coefficient SE(Coeff) t-ratio P-value Intercept 66.3101 146.9 0.451 0.6546 Time -0.031816 0.0732 -0.435 0.6664 Jan -0.036401 0.3907 -0.093 0.9263 Feb 0.162901 0.3907 0.417 0.6793 Mar 0.395053 0.3908 1.01 0.3192 Apr 0.644704 0.3910 1.65 0.1084 May 0.788105 0.3914 2.01 0.0520 Jun 0.774757 0.3918 1.98 0.0562 Jul 0.673908 0.3923 1.72 0.0949 Aug 0.544059 0.3929 1.38 0.1752 Sep 0.333961 0.3937 0.848 0.4022 Oct 0.167112 0.3945 0.424 0.6745 Nov -0.029645 0.4226 -0.070 0.9445

a) What is the value predicted by this model for January 2010 1Time = 20102?

b) Do you think the predictions from this model are likely to be accurate? Explain.

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Business Statistics

ISBN: 9781292269313

4th Global Edition

Authors: Norean Sharpe, Richard De Veaux, Paul Velleman

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