1. Suppose the current time is the end of July, 2019. According to an airline company's...

   

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1. Suppose the current time is the end of July, 2019. According to an airline company's demand records, the number of passengers from Seattle to Orlando in the first seven months in 2019 is listed below. Month Jan Feb Mar Apr May Jun Jul Demand 75000 93000 110000 126000 125000 140000 189000 Use Linear Regression to prepare a forecast for the demand in August, September, and October in 2019 (make sure you attached your excel sheet and show your regression equation with your results). Explain what amount of the variation on the airline company demand can be explain using the months of the year. 1. Suppose the current time is the end of July, 2019. According to an airline company's demand records, the number of passengers from Seattle to Orlando in the first seven months in 2019 is listed below. Month Jan Feb Mar Apr May Jun Jul Demand 75000 93000 110000 126000 125000 140000 189000 Use Linear Regression to prepare a forecast for the demand in August, September, and October in 2019 (make sure you attached your excel sheet and show your regression equation with your results). Explain what amount of the variation on the airline company demand can be explain using the months of the year.

Answer rating: 100% (QA)

The image contains an exercise in which you are asked to use linear regression to predict airline demand for the months of August September and Octobe... View the full answer