Task: Formula-prediction-context (source dataset: cisco-random)

You are given an table region extracted from a real Excel spreadsheet, which is centered around a cell called "Target Cell" (labeled as "[Target Cell]" shown in the table below). The table region below includes up to 10 rows above/below the Target Cell, and 10 columns to the left/right of the Target Cell. 

Your task is to analyze the table context surrounding the Target Cell, and predict the most likely Excel formula that should go in the Target Cell. If multiple formulas are possible, choose the most reasonable or commonly used based on context.

1. Please follow the standard formula syntax in Excel, e.g. always begins with an equal sign (=).
2. Base your predicted formula on the surrounding table context, e.g., column headers, annotations, and data values in nearby cells.
3. No explanation — just output the formula itself in a JSON format: {"formula": "your_formula_here"}.

Input Excel Snippet in Markdown format:
|    | A                                          | B                               | C                     | D                    | E                  | F                  | G                        | H                  | I   | J                      |
|---:|:-------------------------------------------|:--------------------------------|:----------------------|:---------------------|:-------------------|:-------------------|:-------------------------|:-------------------|:----|:-----------------------|
|  1 |                                            | Equant Services Alliance Rebate |                       |                      |                    |                    |                          |                    |     |                        |
|  2 | Measurement Period May 2012 - July 2012    |                                 |                       |                      |                    |                    |                          |                    |     |                        |
|  3 | Currency: USD$                             |                                 |                       |                      |                    |                    |                          |                    |     |                        |
|  4 |                                            |                                 |                       |                      |                    |                    |                          |                    |     |                        |
|  5 | US and Canada                              |                                 |                       |                      |                    |                    | Q4'12                    | Q3'12 Final RR     |     | Q3'12 Original Payment |
|  6 | Eligible Booking Amount per Sales Order    | 5536529.110000004               | 29752708.09000001     | [Target Cell]        | 32275832.17000001  | 32275832.17000001  | 32275832.17000001        | 6922131.429999996  |     | 6922131.429999996      |
|  7 | Rebate Type                                | Global                          | Service Request Ratio | RMA Ratio            | Attach             | Renewal            | Global Investment Credit | Renewal            |     | Renewal                |
|  8 | Paid on                                    | Co-Brand                        | Co-Brand              | Co-Brand             | CoBrand  and CBR   | Cobrand and CBR    | Cobrand and CBR          | Cobrand and CBR    |     | Cobrand and CBR        |
|  9 | Metrics                                    |                                 | 21.754410009260184    | 60.266733277266596   | 0.6850444900257516 | 0.84135344189481   |                          | 0.6694138753285384 |     | 0.4402442161177055     |
| 10 | Rebate % off Service Net                   | 0.02                            | 0.04118419249305487   | 0.036987695298680776 | 0                  | 0.036              | 0.03                     | 0                  |     | 0                      |
| 11 | Rebate Amount                              | 110730.58220000008              | 1225341.2571682313    | 1100484.101143515    | 0                  | 1161929.9581200003 | 280026.15072000015       | 0                  |     | 0                      |
| 12 | Rebate                                     | 3878512.049351747               |                       |                      |                    |                    |                          |                    |     |                        |
| 13 |                                            |                                 |                       |                      |                    |                    |                          |                    |     |                        |
| 14 | AR is not final. RR needs revision for +60 |                                 |                       |                      |                    |                    |                          |                    |     |                        |
| 15 |                                            |                                 |                       |                      |                    |                    |                          |                    |     |                        |
| 16 |                                            |                                 |                       |                      |                    |                    |                          |                    |     |                        |



min_row: 1
max_row: 16
min_col: 1
max_col: 10
target_cell_row_idx: 6
target_cell_col_idx: 4
target_cell_value: 29752708.09000001
formula: =C6