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Monthly number of airline tickets sold by a travel agency

Question # 00004365
Subject: Mathematics
Due on: 12/02/2013
Posted On: 12/02/2013 06:27 AM

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The file P14_01.xlsx contains the monthly number of airline tickets sold by a travel agency.

a. Does a linear trend appear to fit these data well? If so, estimate and interpret the linear trend model for this time series. Also, interpret the R2 and se values.

b. Provide an indication of the typical forecast error generated by the estimated model in part a.

c. Is there evidence of some seasonal pattern in these sales data? If so, characterize the seasonal pattern.

Tags travel agency sold tickets number airline monthly data trend model seasonal pattern linear interpret forecast error typical indication provide generated estimated sales characterize p1401xlsx contains evidence valuesb series tickets airline does agencya travel appear number time monthly

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Monthly number of airline tickets sold by a travel agency -P14_01

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Posted On: 12/02/2013 06:29 AM
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Tutorial Preview …UCL x Stat xxxxxxx H0 (1%) xxxxxxxxx Intercept 643 xxxxxx 15 xxxxxx xxx 220727 xxxxxxxxx ######## 0 xxx…
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Monthly_number_of_airline_tickets_sold_by_a_travel_agency_-P14_01.xlsx (21.55 KB)
Preview: regression, xx 8782 x As seen xx the connected xxxxxxx plot, xxxxx xx regular xxxxxxxx variation Typically, xxx ticket sales xxxx in xxxx xxx December, xxx dip in xxxxxxxx and September x Fron xxx xxxxxxxxxxx shown xx right, a xxxxxx regression trend xxxx is xxxxx xx y.....
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