Task: Table-QA (source dataset: FinQA)

Task: 
You are given a table containing structured data and a natural language question referring to the table. Your goal is to analyze the table and provide an accurate and concise answer based on the given data.

Instructions:
1. Understand the Table: Examine the structure, headers, and data in the table. Identify relevant columns and rows related to the question.
2. Interpret the Question: Determine whether the question requires direct retrieval, aggregation, comparison, sorting, filtering, or inference.
3. Extract the Answer: Use logical reasoning and numerical operations (if necessary) to derive the correct response from the table.
4. Format the Answer: No explanation, return the answer in a structured JSON format: {"answer": <answer>}. If the question cannot be answered due to missing or ambiguous data, return a JSON response with {"answer": null}.

Table:
| ( millions of dollars )                                 | 2018         | 2017         | 2016     |
|:--------------------------------------------------------|:-------------|:-------------|:---------|
| losses on debt extinguishment ( a )                     | $ -16 ( 16 ) | $ -73 ( 73 ) | $ 2014   |
| vyaire medical-related amounts ( b )                    | 288          | -3 ( 3 )     | 2014     |
| other equity investment income                          | 8            | 3            | 8        |
| losses on undesignated foreign exchange derivatives net | -14 ( 14 )   | -11 ( 11 )   | -3 ( 3 ) |
| royalty income ( c )                                    | 51           | 2014         | 2014     |
| gains on previously held investments ( d )              | 2014         | 24           | 2014     |
| other                                                   | 2014         | 3            | 7        |
| other income ( expense ) net                            | $ 318        | $ -57 ( 57 ) | $ 11     |

Question:
what is the range of losses on undesignated foreign exchange derivatives , in millions?


pre_text: note 17 2014 sales-type leases and financing receivables in april 2017 , in conjunction with the implementation of a new 201cgo-to-market 201d business model for the company's u.s .
dispensing business within the medication management solutions ( 201cmms 201d ) unit of the medical segment , the company amended the terms of certain customer leases for dispensing equipment within the mms unit .
the modification provided customers the ability to reduce its dispensing asset base via a return provision , resulting in a more flexible lease term .
prior to the modification , these leases were accounted for as sales-type leases in accordance with accounting standards codification topic 840 , "leases" , as the non- cancellable lease term of 5 years exceeded 75% ( 75 % ) of the equipment 2019s estimated useful life and the present value of the minimum lease payments exceeded 90% ( 90 % ) of the equipment 2019s fair value .
as a result of the lease modification , the company was required to reassess the classification of the leases due to the amended lease term .
accordingly , most amended lease contracts were classified as operating leases beginning in april 2017 .
the change in lease classification resulted in a pre-tax charge to earnings in fiscal year 2017 of $ 748 million , which was recorded in other operating expense , net .
beginning april 1 , 2017 , revenue associated with these modified contracts has been recognized on a straight-line basis over the remaining lease term , along with depreciation on the reinstated leased assets .
the company's consolidated financial results in 2018 and 2017 were not materially impacted by the financing receivables remaining subsequent to the lease modification discussed above .
note 18 2014 supplemental financial information other income ( expense ) , net .
post_text: ( a ) represents losses recognized upon our repurchase and extinguishment of certain senior notes , as further discussed in note 15 .
( b ) represents amounts related to the company 2019s 2017 divestiture of a controlling interest in its former respiratory solutions business and the subsequent sale in 2018 of the remaining ownership interest .
the amount in 2018 includes the gain on the sale of the remaining non-controlling interest and transition services agreement income , net of the company's share of equity investee results .
the amount in 2017 represents the company 2019s share of equity investee results , net of transition services agreement income .
additional disclosures regarding these divestiture transactions are provided in note 10 in the notes to consolidated financial statements .
( c ) represents the royalty income stream acquired in the bard transaction , net of non-cash purchase accounting amortization .
the royalty income stream was previously reported by bard as revenues .
( d ) represents an acquisition-date accounting gain related to a previously-held equity method investment in an entity the company acquired. .
label: 11
qa: answer: 11
explanation: using absolute value since both numbers are negative
ann_table_rows: 4
ann_text_rows: 9
steps: op: minus1-1
arg1: 14
arg2: 3
res: 11
program: subtract(14, 3)
gold_inds: table_4: ( millions of dollars ) the losses on undesignated foreign exchange derivatives net of 2018 is -14 ( 14 ) ; the losses on undesignated foreign exchange derivatives net of 2017 is -11 ( 11 ) ; the losses on undesignated foreign exchange derivatives net of 2016 is -3 ( 3 ) ;
text_9: note 18 2014 supplemental financial information other income ( expense ) , net .
exe_ans: 11
tfidftopn: table_1: ( millions of dollars ) The losses on debt extinguishment ( a ) of 2018 is $ -16 ( 16 ) ; The losses on debt extinguishment ( a ) of 2017 is $ -73 ( 73 ) ; The losses on debt extinguishment ( a ) of 2016 is $ 2014 ;
program_re: subtract(14, 3)
model_input: table_1
( millions of dollars ) the losses on debt extinguishment ( a ) of 2018 is $ -16 ( 16 ) ; the losses on debt extinguishment ( a ) of 2017 is $ -73 ( 73 ) ; the losses on debt extinguishment ( a ) of 2016 is $ 2014 ;
table_4
( millions of dollars ) the losses on undesignated foreign exchange derivatives net of 2018 is -14 ( 14 ) ; the losses on undesignated foreign exchange derivatives net of 2017 is -11 ( 11 ) ; the losses on undesignated foreign exchange derivatives net of 2016 is -3 ( 3 ) ;
text_10
( a ) represents losses recognized upon our repurchase and extinguishment of certain senior notes , as further discussed in note 15 .