What is the translation of " MULTIPLE LINEAR " in Chinese?

• 多元线性
• 多个线性

Examples of using Multiple linear in English and their translations into Chinese

A multiple linear regression model was constructed.
构建了多元线性回归预测模型。

Construct the following multiple linear regression model:.
建立以下多元线性回归模型:.

If Y, B, and U were column vectors, the matrix equation above would represent multiple linear regression.
如果Y，B和U是列向量，则上面的矩阵方程将表示多元线性回归。

This model is known as a multiple linear regression model.
这样的模型被称为多元线性回归模型。

Letting a multiple linear regression do the work is certainly more robust than your eyeballing estimates.
让多元线性回归来做这项工作肯定比你的眼球估计更有力。

A study of partial F tests for multiple linear regression models.
多元线性回归模型的F检验.

In the context of multiple linear regression these can be thought of as regression co-efficients or beta's.
在多元线性回归的背景中，这些可被认为是回归系数或β系数。

If there is more than one variable it is called Multiple Linear Regression.
当有不止一个预测变量时，则称为多元线性回归。

The general shape of a multiple linear regression model is the following:.
多元线性总体回归模型的一般形式如下：.

Can we easily extend our previous code to handle multiple linear regression?
我们尝试扩展以前的代码来处理多元线性回归。?

And, Multiple Linear Regression(as the name suggests) is characterized by multiple(more than 1) independent variables.
多元线性回归（顾名思义）的特征是多个（1个以上）独立变量。

The Polynomial regression is also called as multiple linear regression models.
该问题也被称为多元线性回归模型。

And, Multiple Linear Regression(as the name suggests) is characterized by multiple(more than 1) independent variables.
多元线性回归（顾名思义）是以多个（多于一个）自变量为特征的。

Efficiency A single vectored I/O operation can replace multiple linear I/O operations.
单个向量I/O操作可以取代多个线性I/O操作。

And, Multiple Linear Regression(as the name suggests) is characterized by multiple(more than 1) independent variables.
而且，多元线性回归（顾名思义）的特征是多个（多于1个）自变量。

For more than one explanatory variable, the process is called multiple linear regression.
对于多个解释变量，该过程称为多元线性回归。

Not to be confused with Multiple linear regression, Generalized linear model or General linear methods.
不要与多元线性回归，广义线性模型或一般线性方法相混淆。

We can generalize our previous equation for simple linear regression to multiple linear regression-.
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：.

A single PDF417 symbol can be imagined as multiple linear bar-codes(called"rows") stacked above each other.
一个PDF417符号可以想象成多个线性条形码（称为“行”）堆叠在一起。

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

There is no need to get confused with multiple linear regression, generalized linear model or general linear methods.
不要与多元线性回归，广义线性模型或一般线性方法相混淆。

Linear Regression is of mainly two types- Simple Linear Regression and Multiple 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。

Multiple linear regression models indicated that most syndrome variations(up to 86%) can be explained by counts of respiratory pathogens.
多元线性回归模型显示，症状变化的大多数原因（达86％）可由呼吸道病原的数量变化来解释。

Mathematical rules- algorithms have been developed which can extract multiple linear regression lines from neural networks.
数学规则--可以从神经网络中提取多重线性回归线的算法已被开发出来。

Multiple linear regression is a linear regression extension, involving more than two attributes and fitting the data to a multi-dimensional surface.
多线性回归是线性回归的扩展，它涉及多于两个变量，数据要适合一个多维面。

Complex spatial fingerprints of change can do a much better job at discriminating between competing hypotheses than simple multiple linear regression with a single time-series.
复杂的变化空间指纹在区分相互竞争的假设上比简单的单时间序列的多重线性回归更有效。

A generalization of LC- multiple linear cryptanalysis- was suggested in 1994(Kaliski and Robshaw), and was further refined by Biryukov and others.
一般概念上的LC-“多线性密码分析”-在1994年由Kaliski和Robshaw所建议，并由比留科夫等人于2004年所改进。

The two basic types of regression are linear regression and multiple linear regression, although there are non-linear regression methods for more complicated data and analysis.
回归的两种基本类型是线性回归和多元线性回归，尽管有更复杂的数据和分析的非线性回归方法。