calculate_linear_regression
Calculate linear regression slope and intercept from summary statistics: provide means, sum of cross products, sum of squares, and sample size to get regression equation parameters.
Instructions
Calculate linear regression slope and intercept from summary statistics. Returns: {error}. See list_bundles for related 'math' calculators.
Input Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| x_mean | Yes | Mean of x values | |
| y_mean | Yes | Mean of y values | |
| sum_xy | Yes | Sum of (xi-x_mean)*(yi-y_mean) | |
| sum_x2 | Yes | Sum of (xi-x_mean)² | |
| n | Yes | Number of data points |
Output Schema
TableJSON Schema
| Name | Required | Description | Default |
|---|---|---|---|
| result | No | Computed result. Object whose fields depend on the tool (e.g. {tax, marginal_rate, brackets} for tax tools, {volume_l, gallons} for volume tools). | |
| formula | No | Human-readable formula or method used (e.g. "I=P·r·t", "Magnus formula"). | |
| source | No | Authoritative source for the rule or formula (e.g. "Article 197 CGI", "NF DTU 21"). | |
| reference_url | No | Link to a calcul2 page documenting the calculation in detail. |