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You create a statistical model using data for any variable that you think might affect room occupancy. Where direct data are not available, you could use proxies. Using these data you could carry out a multiple regression which would give you the best variables to use and an equation, using those variables, to forecast occupancy.

Some variables that may be of use:

Season

Number of hotels/room in town

Your prices, offers

Other hotels' prices

Your quality (star) rating

Customer satisfaction, your reputation

Location (your and others')

Amenities (your and others')

Special events - eg conferences, conventions

Advertising

Ties with airlines, car rental etc.

You create a statistical model using data for any variable that you think might affect room occupancy. Where direct data are not available, you could use proxies. Using these data you could carry out a multiple regression which would give you the best variables to use and an equation, using those variables, to forecast occupancy.

Some variables that may be of use:

Season

Number of hotels/room in town

Your prices, offers

Other hotels' prices

Your quality (star) rating

Customer satisfaction, your reputation

Location (your and others')

Amenities (your and others')

Special events - eg conferences, conventions

Advertising

Ties with airlines, car rental etc.

You create a statistical model using data for any variable that you think might affect room occupancy. Where direct data are not available, you could use proxies. Using these data you could carry out a multiple regression which would give you the best variables to use and an equation, using those variables, to forecast occupancy.

Some variables that may be of use:

Season

Number of hotels/room in town

Your prices, offers

Other hotels' prices

Your quality (star) rating

Customer satisfaction, your reputation

Location (your and others')

Amenities (your and others')

Special events - eg conferences, conventions

Advertising

Ties with airlines, car rental etc.

You create a statistical model using data for any variable that you think might affect room occupancy. Where direct data are not available, you could use proxies. Using these data you could carry out a multiple regression which would give you the best variables to use and an equation, using those variables, to forecast occupancy.

Some variables that may be of use:

Season

Number of hotels/room in town

Your prices, offers

Other hotels' prices

Your quality (star) rating

Customer satisfaction, your reputation

Location (your and others')

Amenities (your and others')

Special events - eg conferences, conventions

Advertising

Ties with airlines, car rental etc.

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11y ago

You create a statistical model using data for any variable that you think might affect room occupancy. Where direct data are not available, you could use proxies. Using these data you could carry out a multiple regression which would give you the best variables to use and an equation, using those variables, to forecast occupancy.

Some variables that may be of use:

Season

Number of hotels/room in town

Your prices, offers

Other hotels' prices

Your quality (star) rating

Customer satisfaction, your reputation

Location (your and others')

Amenities (your and others')

Special events - eg conferences, conventions

Advertising

Ties with airlines, car rental etc.

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Q: How do you forecast room occupancy of hotel?
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