Home > Database > Oracle > body text

Usage of Regr_SLOPE in oracle

下次还敢
Release: 2024-05-02 23:00:28
Original
1004 people have browsed it

The REGR_SLOPE function in Oracle is used to calculate linear regression slope. The syntax is REGR_SLOPE(y, x), where y is the dependent variable and x is the independent variable. Can be used to calculate the slope of a set of data, filter slopes based on conditions, or average data from different sets.

Usage of Regr_SLOPE in oracle

Regr_SLOPE function usage in Oracle

Regr_SLOPE is a function in Oracle , used to calculate the linear regression slope of a set of data.

Syntax

<code>REGR_SLOPE(y, x)</code>
Copy after login

Where:

  • y: Array or column of dependent variable
  • x: Array or column of independent variables

Usage

  1. Calculate linear regression slope

    <code>SELECT REGR_SLOPE(sales, population) FROM cities;</code>
    Copy after login

    This query will return the linear regression slope for the city's sales and population data points.

  2. Using aggregate functions

    <code>SELECT AVG(REGR_SLOPE(sales, population)) FROM cities GROUP BY region;</code>
    Copy after login

    This query will average the linear regression slopes based on the region to which the city belongs.

  3. Conditional filtering

    <code>SELECT REGR_SLOPE(sales, population)
    FROM cities
    WHERE population > 1,000,000;</code>
    Copy after login

    This query will return the linear regression slope for cities with a population greater than 1,000,000.

Note

  • y and x arrays or columns must have the same length .
  • Input data must be of numeric type.
  • The Regr_SLOPE function returns NaN if there are duplicate values ​​in the argument (x).
  • NaN values ​​or null values ​​are excluded from calculations.

The above is the detailed content of Usage of Regr_SLOPE in oracle. For more information, please follow other related articles on the PHP Chinese website!

Related labels:
source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template
About us Disclaimer Sitemap
php.cn:Public welfare online PHP training,Help PHP learners grow quickly!