Task: Formula-prediction-context (source dataset: enron-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:
|    | E                  | F                  | G      | H                  | I                  | J                  | K                  | L                  | M                  | N    | O                  | P                  | Q                  | R                  | S                  | T      | U                  | V                  | W                  | X                  | Y                  |
|---:|:-------------------|:-------------------|:-------|:-------------------|:-------------------|:-------------------|:-------------------|:-------------------|:-------------------|:-----|:-------------------|:-------------------|:-------------------|:-------------------|:-------------------|:-------|:-------------------|:-------------------|:-------------------|:-------------------|:-------------------|
|  1 |                    |                    | Checks | Must = 1           |                    |                    |                    |                    |                    |      |                    |                    |                    |                    |                    |        |                    |                    |                    |                    |                    |
|  2 |                    |                    | 16Hr   | 1.0000150006540325 |                    |                    |                    |                    |                    |      |                    |                    |                    |                    |                    |        |                    |                    |                    |                    |                    |
|  3 |                    |                    | 24Hr   | 1.0000085619696304 |                    |                    |                    |                    |                    |      |                    |                    |                    |                    |                    |        |                    |                    |                    |                    |                    |
|  4 |                    |                    |        |                    |                    |                    |                    |                    |                    |      | Super Peak Sorter  |                    |                    |                    |                    |        |                    |                    |                    |                    |                    |
|  5 | 4.0                | 5.0                | 6.0    | 7.0                | 8.0                | 9.0                | 10.0               | 11.0               | 12.0               |      | 1.0                | 2.0                | 3.0                | 4.0                | 5.0                | 6.0    | 7.0                | 8.0                | 9.0                | 10.0               | 11.0               |
|  6 |                    |                    |        |                    |                    |                    |                    |                    |                    | P/OP |                    |                    |                    |                    |                    |        |                    |                    |                    |                    |                    |
|  7 | 0.9958125810841433 | 0.9348338657987266 | 1.02   | 1.1093405989335892 | 1.1093405989335892 | 1.02               | 0.9958125810841433 | 0.976              | 0.976              | 2.0  | [Target Cell]      | 0.0                | 0.0                | 0.0                | 0.0                | 0.0    | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                |
|  8 | 0.8674901099342753 | 0.93               | 0.95   | 0.9403939106474006 | 0.9403939106474006 | 0.95               | 0.8674901099342753 | 0.9                | 0.9                | 2.0  | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0    | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                |
|  9 | 0.8299682177151789 | 0.93               | 0.9    | 0.8337177862083169 | 0.8337177862083169 | 0.9                | 0.8299682177151789 | 0.9                | 0.9                | 2.0  | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0    | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                |
| 10 | 0.8299682177151789 | 0.936              | 0.85   | 0.7955573019031248 | 0.7955573019031248 | 0.85               | 0.8299682177151789 | 0.9                | 0.9                | 2.0  | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0    | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                |
| 11 | 0.9041264167329481 | 0.96               | 0.895  | 0.8136547836087071 | 0.8136547836087071 | 0.895              | 0.9041264167329481 | 0.95               | 0.95               | 2.0  | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0    | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                |
| 12 | 1.153469406519228  | 1.2                | 0.92   | 1.0213679776619993 | 1.0213679776619993 | 0.92               | 1.153469406519228  | 1.2                | 1.15               | 2.0  | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                | 0.0    | 0.0                | 0.0                | 0.0                | 0.0                | 0.0                |
| 13 | 1.22               | 0.85               | 0.47   | 0.37               | 0.37               | 0.45               | 1.22               | 0.8                | 1.0                | 1.0  | 1.0200738350125944 | 1.0200738350125944 | 1.0173448699421965 | 1.005              | 0.9509375          | 0.735  | 0.685              | 0.685              | 0.7063438653136531 | 1.005              | 0.9175684931506849 |
| 14 | 1.22               | 0.9175             | 0.47   | 0.37               | 0.37               | 0.5313653136531366 | 1.22               | 1.15               | 1.2545             | 1.0  | 0.9388238350125945 | 0.9388238350125945 | 0.9768786127167632 | 0.9624999999999999 | 0.9759375          | 0.8675 | 0.8424999999999999 | 0.8424999999999999 | 0.8225938653136532 | 0.9624999999999999 | 0.905068493150685  |
| 15 | 1.15               | 0.95               | 0.47   | 0.37               | 0.37               | 0.5608856088560885 | 1.15               | 1.15               | 1.26               | 1.0  | 0.8702613350125945 | 0.8702613350125945 | 0.92485549132948   | 0.9199999999999999 | 0.99875            | 1.0    | 1.0                | 1.0                | 0.934923201107011  | 0.9199999999999999 | 0.8488184931506849 |
| 16 | 1.0                | 0.97               | 0.47   | 0.37               | 0.37               | 0.6                | 1.0                | 1.15               | 1.205              | 1.0  | 0.8265113350125944 | 0.8265113350125944 | 0.8959537572254337 | 0.9075             | 1.0174999999999998 | 1.1325 | 1.1574999999999998 | 1.1574999999999998 | 1.0585625          | 0.9075             | 0.830068493150685  |
| 17 | 0.9                | 0.975              | 0.47   | 0.37               | 0.37               | 0.6635             | 0.9                | 0.9205479452054794 | 0.9205479452054794 | 1.0  | 0.8515113350125945 | 0.8515113350125945 | 0.9075144508670521 | 0.9325             | 1.03625            | 1.265  | 1.315              | 1.315              | 1.1710625000000001 | 0.9325             | 0.8431934931506849 |



min_row: 1
max_row: 17
min_col: 5
max_col: 25
target_cell_row_idx: 7
target_cell_col_idx: 15
target_cell_value: 0.0
formula: =IF(AND($N7=1,$N14=1),AVERAGE(B7:B14),0)