We are to predict sales for a motel chain based on the information in Table (file Motel.xls). Quarter Potential Customers (thousands) Advertising (thousands of dollars) Season Sales (millions) 1 100...


We are to predict sales for a motel chain based on the information in Table (file Motel.xls).

























































































































































Quarter



Potential


Customers (thousands)



Advertising


(thousands of dollars)



Season



Sales (millions)



1



100



30



Winter



1,200



2



105



20



Spring



880



3



111



15



Summer



1,800



4



117



40



Fall



1,050



5



122



10



Winter



1,700



6



128



50



Spring



350



7



135



5



Summer



2,500



8



142



40



Fall



760



9



149



20



Winter



2,300



10



156



10



Spring



1,000



11



164



60



Summer



1,570



12



172



5



Fall



2,430



13



181



35



Winter



1,320



14



190



15



Spring



1,400



15



200



70



Summer



1,890



16



210



25



Fall



3,200



17



221



30



Winter



2,200



18



232



60



Spring



1,440



19



243



80



Summer



4,000



20



264



60



Fall



4,100



 a Use this data and multiple regression to make predictions for the motel chain’s sales during the next four quarters. Assume that advertising during each of the next four quarters is $50,000.


b Use the Holt method to make forecasts for the motel chain’s sales during the next four quarters.


c Use simple exponential smoothing to make predictions for the motel chain’s sales during the next four quarters.


d Use Winter’s method to determine predictions for the motel chain’s sales during the next four quarters.


e Which forecasts would be expected to be the most reliable? (Hint: Use advertising, lagged by one period, as an independent variable.)



May 25, 2022
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