Data Regression Analysis

Input Data (JSON Array)

Regression Configuration

X Field (Independent Variable)

Y Field (Dependent Variable)

Regression Method

Predict Values (comma-separated)

Include detailed statistics

Example Input

[
  {
    "year": 2018,
    "sales": 100000,
    "marketing": 50000,
    "profit": 25000
  },
  {
    "year": 2019,
    "sales": 150000,
    "marketing": 75000,
    "profit": 45000
  },
  {
    "year": 2020,
    "sales": 200000,
    "marketing": 100000,
    "profit": 70000
  }
]

Regression Methods:

Linear: Fits a straight line to the data (y = mx + b)
Polynomial: Fits a curved line using higher-order terms (y = ax2 + bx + c)
R2 ranges from 0 to 1, with 1 indicating a perfect fit