What is the translation of " 简单线性回归 " in English?

• simple linear regression

Examples of using 简单线性回归 in Chinese and their translations into English

如何评估逻辑回归与简单线性回归模型预测的性能？?
How do you assess logistic regression versus simple linear regression models?

当只有一个自变量的时候，成为简单线性回归。
When there is just one independent variable it is called Simple Linear Regression.

一个解释变量的情况称为简单线性回归。
The case of one independent variable is called simple linear regression.

一个解释变量的情况称为简单线性回归。
The case of a single explanatory variable is called Simple Linear Regression.

回到简单线性回归问题，目标：.
In simple linear regression, the goal is to.

一些机器学习技术，如高斯过程和简单线性回归，都有贝叶斯和非贝叶斯版本。
Several machine learning techniques, such as Gaussian processes and simple linear regression, have Bayesian and non-Bayesian versions.

在本文中，我们讨论了执行简单线性回归的7种有效方法。
In this article, we discussed 7 effective ways to perform simple linear regression.

这些变体包括线性回归模型，简单线性回归，逻辑回归，非线性回归，非参数回归，稳健回归和逐步回归。
These variants include the linear regression model, simple linear regression, logistic regression, nonlinear regression, nonparametric regression, robust regression, and stepwise regression..

这违反了拟合简单线性回归模型需满足的假设之一。
This violates one of the assumptions required for fitting a simple linear regression model.

在简单线性回归中，仅使用一个独立变量X来预测因变量Y的值。
In simple linear regression, just one independent variable X is used to predict the value of the dependent variable Y.

简单线性回归使用一个独立变量来通过拟合最佳线性关系来预测因变量。
Simple Linear Regression uses a single independent variable to predict a dependent variable by fitting a best linear relationship.

简单线性回归使用一个独立变量，通过拟合最佳线性关系来预测因变量。
Simple Linear Regression uses a single independent variable to predict a dependent variable by fitting a best linear relationship.

线性回归主要有两类：简单线性回归和多元线性回归。
Linear Regression is of mainly two types- Simple Linear Regression and Multiple Linear Regression..

线性回归章节从简单线性回归讲到多元回归，之后讨论了此类模型假设的重要性。
The chapters progress from simple linear regression to multiple regression and then discuss the importances of the assumptions of such models.

简单线性回归使用一个自变量X，复回归使用超过一个自变量（X1,X2…Xi）。
Simple linear regression is using an independent variable X, complex regression using more than one independent variable(X1, X2, and X3…Xi).

我们能够将我们以前的简单线性回归方程推广到多元线性回归：.
We can generalize our previous equation for simple linear regression to multiple linear regression-..

多重共线性的一个主要问题在于：它会导致简单线性回归系数偏离我们想要的方向。
One of the main concerns of multicollinearity is that it can lead to coefficients being flipped from the direction we expect from simple linear regression.

线性回归主要有两种类型：简单线性回归和多元线性回归。
Linear Regression is of mainly two types- Simple Linear Regression and Multiple Linear Regression..

在本文中，我们讨论了8种进行简单线性回归的方法。
In this article, we discussed 7 effective ways to perform simple linear regression.

但是，由于其特殊性，它是简单线性回归中速度最快的方法之一。
However, because of its specialized nature, it is one of the fastest method when it comes to simple linear regression.

特征是输入变量，即简单线性回归中的x变量。
A feature is an input variable, the x variable in simple linear regression.

读者应掌握一些基本统计知识，包括方差、相关、简单线性回归和基本假设检验(如p值和检验统计)“.
The reader should have some knowledge of basic statistics, including variance, correlation, simple linear regression, and basic hypothesis testing(e.g. p-values and test statistics).

多元线性回归是简单线性回归到多个自变量的概括，以及一般线性模型的特例，仅限于一个因变量。
Multiple linear regression is a generalization of simple linear regression to the case of more than one independent variable, and a special case of general linear models, restricted to one dependent variable.

简单线性回归.
(a) Simple linear regression.

简单线性回归.
Simple linear regression Correlation.

用PHP实现的简单线性回归:第1部分.
Simple linear regression with PHP: Part 2.

简单线性回归的特点是一个独立变量。
Simple linear regression involves only one independent variable.

根据简单线性回归的思路，我们的目标即为：.
In simple linear regression, the goal is to.

简单线性回归是评估一个感兴趣的变量（因变量）受到另一个变量（自变量）变化产生影响的一种技术。
Linear regression is the technique for estimating how one variable of interest(the dependent variable) is affected by changes in another variable(the independent variable).