Linear regression on two lists
Linear regression on two lists - slope, intercept, r, r-squared, standard errors, p-value, 95% slope interval, equation and a prediction for a new x
Answers HTTP 404 without x402 payment termsour last check, 2026-10-18
0 of 1checks answered this week
n/amedian answer time
$0.01listed price per call
n/aprice it asked us
Paid test badge: not yet. The checks above are free: we call the tool without paying and read the payment request it sends back. The Verified badge needs paid calls whose answers match the promised output, and nobody can buy a badge.
Endpoint
GET https://saylorinnovations.com/api/stats/regression
| Category | Everything else |
|---|---|
| Provider host | saylorinnovations.com |
| Networks | eip155:8453, solana:5eykt4UsFv8P8NJdTREpY1vzqKqZKvdp |
| Payment schemes | exact |
| Self-reported calls, 30 days | 1 from 1 payers (the provider's figure, not ours) |
Our checks, last 30 days
| Day | Result | HTTP | Asked | Time |
|---|---|---|---|---|
| 2026-10-18 | no x402 terms | 404 | 219 ms |
Example input (from the provider)
{
"method": "GET",
"queryParams": {
"predict_x": "6",
"x": "1,2,3,4,5",
"y": "2,4,5,4,5"
},
"type": "http"
}
Promised output schema (from the provider)
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"properties": {
"input": {
"additionalProperties": false,
"properties": {
"method": {
"enum": [
"GET",
"POST",
"PUT",
"PATCH",
"DELETE",
"HEAD"
],
"type": "string"
},
"queryParams": {
"properties": {
"predict_x": {
"description": "optional x to predict y for",
"type": "string"
},
"x": {
"description": "Comma-separated x values, 3-500",
"type": "string"
},
"y": {
"description": "Comma-separated y values, same count as x",
"type": "string"
}
},
"required": [
"x",
"y"
],
"type": "object"
},
"type": {
"const": "http",
"type": "string"
}
},
"required": [
"type",
"method"
],
"type": "object"
},
"output": {
"properties": {
"example": {
"properties": {
"equation": {
"type": "string"
},
"intercept": {
"type": "number"
},
"intercept_std_error": {
"description": "Intercept std error",
"type": [
"number",
"null"
]
},
"interpretation": {
"description": "Plain-language reading of the result",
"type": "string"
},
"n": {
"type": "number"
},
"prediction": {
"type": [
"object",
"null"
]
},
"r": {
"type": "number"
},
"r_squared": {
"description": "R squared",
"type": "number"
},
"residual_std_error": {
"description": "Residual std error",
"type": "number"
},
"slope": {
"type": "number"
},
"slope_95_ci": {
"description": "Slope 95 ci",
"type": "array"
},
"slope_p_value": {
"description": "Slope p value",
"type": "number"
},
"slope_std_error": {
"description": "Slope std error",
"type": [
"number",
"null"
]
},
"slope_t": {
"description": "Slope t",
"type": [
"number",
"null"
]
},
"source": {
"description": "Data source the values come from",
"type": "string"
}
},
"required": [
"n",
"slope",
"intercept",
"r_squared"
],
"type": "object"
},
"type": {
"const": "json",
"type": "string"
}
},
"required": [
"type"
],
"type": "object"
}
},
"required": [
"input"
],
"type": "object"
}