A multi-regression analysis of airline indirect operating costs
June 1968
| Main Authors: | , |
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| Other Authors: | |
| Format: | Technical Report |
| Published: |
[Cambridge, Mass.] : Massachusetts Institute of Technology Flight Transportation Laboratory, [1968]
2012
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| Online Access: | http://hdl.handle.net/1721.1/68094 |
| _version_ | 1811095596626345984 |
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| author | Taneja, Nawal K. Simpson, R. W. |
| author2 | United States. Office of High-Speed Ground Transportation |
| author_facet | United States. Office of High-Speed Ground Transportation Taneja, Nawal K. Simpson, R. W. |
| author_sort | Taneja, Nawal K. |
| collection | MIT |
| description | June 1968 |
| first_indexed | 2024-09-23T16:20:27Z |
| format | Technical Report |
| id | mit-1721.1/68094 |
| institution | Massachusetts Institute of Technology |
| last_indexed | 2024-09-23T16:20:27Z |
| publishDate | 2012 |
| publisher | [Cambridge, Mass.] : Massachusetts Institute of Technology Flight Transportation Laboratory, [1968] |
| record_format | dspace |
| spelling | mit-1721.1/680942019-04-12T15:08:20Z A multi-regression analysis of airline indirect operating costs Taneja, Nawal K. Simpson, R. W. United States. Office of High-Speed Ground Transportation Massachusetts Institute of Technology. Flight Transportation Laboratory Airlines Regression analysis Production scheduling System analysis Cost of operation United States June 1968 PB 183 012 N69-33854 Includes bibliographical references (p. 53-54) A multiple regression analysis of domestic and local airline indirect costs was carried out to formulate cost estimating equations for airline indirect costs. Data from CAB and FAA sources covering the years 1962-66 was used, and the costs were broken down into the classification of the uniform system of accounts Form 41, used by the airlines in reporting to the CAB. Thus regression equations were found for 1) annual system expenses in the categories such as Passenger Servicing, Traffic Servicing, Promotion and Sales, General and Administrative, etc. as well as an overall indirect operating cost; and 2) annual station expenses where the Aircraft and Traffic Servicing expenses for individual stations are examined. A stepwise regression technique is used to select the best combinations of independent variables for the equations. The independent variables were data such as revenue passenger miles, passengers enplaned, revenue aircraft miles, total revenue aircraft departures, etc. The results generally showed that a high degree of correlation could be found between the costs and some combination of these variables. Office of High Speed Ground Transport, Dept. of Commerce 2012-01-06T22:23:07Z 2012-01-06T22:23:07Z 1968 Technical Report 48394625 http://hdl.handle.net/1721.1/68094 FTL report (Massachusetts Institute of Technology. Flight Transportation Laboratory) ; R67-2 114 p application/pdf [Cambridge, Mass.] : Massachusetts Institute of Technology Flight Transportation Laboratory, [1968] |
| spellingShingle | Airlines Regression analysis Production scheduling System analysis Cost of operation United States Taneja, Nawal K. Simpson, R. W. A multi-regression analysis of airline indirect operating costs |
| title | A multi-regression analysis of airline indirect operating costs |
| title_full | A multi-regression analysis of airline indirect operating costs |
| title_fullStr | A multi-regression analysis of airline indirect operating costs |
| title_full_unstemmed | A multi-regression analysis of airline indirect operating costs |
| title_short | A multi-regression analysis of airline indirect operating costs |
| title_sort | multi regression analysis of airline indirect operating costs |
| topic | Airlines Regression analysis Production scheduling System analysis Cost of operation United States |
| url | http://hdl.handle.net/1721.1/68094 |
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