Question: In Exercise 30 we looked at the weekly average retail price (cents per gallon) of regular gas nationwide from 2011 through June 2013. Heres the

In Exercise 30 we looked at the weekly average retail price (cents per gallon) of regular gas nationwide from 2011 through June 2013. Here€™s the time series plot again:
In Exercise 30 we looked at the weekly average retail

a) What components can you see in this plot?
Here€™s an AR(14) model fit to these data.

In Exercise 30 we looked at the weekly average retail

Here€™s a time series plot of the model.

In Exercise 30 we looked at the weekly average retail

b) Does this model show that there is a (possibly unsuspected) 14-week seasonal cycle in gas prices? Explain.
c) Would you use this model to predict future gas prices? Explain.

1 3.50- 825 30 90 120 Weeks Dependent variable is: Gas Price 130 total cases of which 14 are missing R squared.. 31.0% R squared (adjusted)# 30.4% 0.1587 wth 116 2114 degrees of freedom Variable Coefficient SECCoeff) t-ratio P-value Intercept 5.34942 0.2354 22.7

Step by Step Solution

3.46 Rating (169 Votes )

There are 3 Steps involved in it

1 Expert Approved Answer
Step: 1 Unlock

a There are irregular components and possible cycles b ... View full answer

blur-text-image
Question Has Been Solved by an Expert!

Get step-by-step solutions from verified subject matter experts

Step: 2 Unlock
Step: 3 Unlock

Document Format (1 attachment)

Word file Icon

452-M-S-D-A (1499).docx

120 KBs Word File

Students Have Also Explored These Related Statistics Questions!