Function regression

regression(
    data: number[][],
    type?: "linear" | "polynomial" | "power" | "exponential" | "logarithmic",
    degree?: number,
): ChalkboardFunction
Calculates a regression model for an array of data.
Parameters
- data: number[][]
  The data, an array of arrays that represent an ordered pair of 2D coordinates
- Optionaltype: "linear" | "polynomial" | "power" | "exponential" | "logarithmic" = "linear"
  The type of regression model, which can be "linear", "polynomial", "power", "exponential", or "logarithmic"
- Optionaldegree: number = 2
  The degree of the leading coefficient of the polynomial regression model
Returns ChalkboardFunction
Example
```
const line = Chalkboard.stat.regression([[0, 1], [1, 3], [2, 5]], "linear");
const y = Chalkboard.real.val(line, 3); // Returns 7
```
- Defined in Chalkboard.stat.ts:1141