Scalar FunctionsSeries Functions
series_fit_line_dynamic
Closed-form ordinary-least-squares fit of a numeric series, returned as a property bag shaped like Microsoft Kusto's output: ``` { slope, interception, rsquare, variance, rvariance, line_fit: [...] } ```.
An absent element (null) makes the result null.
Syntax
series_fit_line_dynamic(series)Parameters
Prop
Type
Returns: dynamic
Examples
Example 1
print series_fit_line_dynamic(dynamic([1.0, 2.0, 3.0, 4.0, 5.0]))| print_0 (dynamic) |
|---|
| {"interception":1.0,"line_fit":[1.0,2.0,3.0,4.0,5.0],"rsquare":1.0,"rvariance":0.0,"slope":1.0,"variance":2.5} |