REGRESSION MODEL 中文是什么意思

On regression model was used.

采用的回归模型。

Geographically Weight Regression Model.

地理加权回归模型.

Linear regression is a regression model that is entirely made up of linear variables.

线性回归是指完全由线性变量组成的回归模型。

So now, we have introduced our simple linear regression model.

现在，我们来构建一个简单的线性回归模型。

Multiple linear regression model is as follows:.

多元线性回归模型如下：.

人们也翻译

a linear regression model

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。

A multinomial logistic regression model was applied to a subset of 10 classes.

多项逻辑回归模型应用于10个类的子集。

Now we know that this is a simple linear regression model.

现在，我们来构建一个简单的线性回归模型。

This is the most commonly used regression model; however, it is not always a realistic one.

这是最常用的回归模型，但并非总是符合实际需要。

We will begin by simulating a simple linear regression model.

现在，我们来构建一个简单的线性回归模型。

For our linear regression model, we have one weight matrix and one bias matrix.

对于我们的线性回归模型，我们有一个权重矩阵和一个偏置矩阵。

Thus we specified a multilevel multinomial regression model as follows:.

由此，我们建立多元线性回归模型，具体如下：.

They also applied the so-called Poisson regression model to statistically analyze the risk of ovarian cancer among the different groups.

他们还应用所谓的泊松回归模型来统计分析不同组中卵巢癌的风险。

In that case these redundantX columns should be omitted from the regression model.

在这种情况下，这些多余的X列应该从回归模型中删除。

Test R2 identifies how well the PLS regression model predicts your test data.

检验R2可确定PLS回归模型预测检验数据的优度。

Such kind of model is known as a multivariate ormultiple linear regression model.

这样的模型被称为多元线性回归模型。

Later, you tried a time series regression model and got higher accuracy than decision tree model..

后来，你尝试了时间序列回归模型，并得到了比决策树模型更高的精度。

Compute the regression equation and determine the most appropriate regression model.

计算回归方程并选择最合适的回归模型.

The average prediction of the optimal least squares regression model is equal to the average label on the training data.

最优的最小二乘回归模型的平均预测结果等于训练数据的平均标签。

This violates one of theassumptions required for fitting a simple linear regression model.

这违反了拟合简单线性回归模型需满足的假设之一。

Using a stratified Cox regression model, we calculated risk of death during 3 yr of treatment in an intention-to-treat analysis.

我们使用分层的Cox回归模型，计算3年打算到治疗分析中的处理过程中死亡的风险。

When you ask this question,what you really want to know is whether your regression model can meet your objectives?

当你问这个问题时,你真正想知道的是：回归模型是否能达到您的目标？模型是否能够满足你的要求?

This simple linear regression model assumes that if we treat the label as a third spatial dimension, we can fit a plane to the data.

这个简单的线性回归模型假定，如果我们将标签视为第三个空间维度，我们可以将数据拟合为平面。

In general, we can model the expected value of y as an nth degree polynomial,yielding the general polynomial regression model.

通常，我们可以将y的期望值建模为n次多项式，得到一般多项式回归模型：.

A robust Linear Regression model should utilize statistical tests for selecting meaningful, statistically significant, predictors to include.

一个强大的线性回归模型必须选取有意义的、重要的统计指标的指标作为预测指标。

As the basis of the combination forecasting model,the linear regression and Logistic regression model are established, respectively at first.

作为组合预测模型建立的基础，本文首先分别建立线性回归和Logistic回归模型。

A random effects logistic regression model was used to test whether any pre-marketing characteristics were associated with either post-marketing safety action.

随机效应Logistic回归模型用于检验任何营销前特征与上市后安全行为是否相关。

These additional factors are known as the Fama-French factors,named after the professors who developed the multiple linear regression model to better explain asset returns.

这些额外的因素被称为Fama-French因素，以发展多元线性回归模型的教授命名，以更好地解释资产回报。

Adding independent variables to a multiple linear regression model will always increase the amount of explained variance in the dependent variable(typically expressed as R²).

将自变量添加到线性回归模型将总是增加模型的解释方差（通常表示为R2）。

Therefore, the C4-CPHO linear regression model has been reapplied to all claims that were reported in instalments two through seven that contained C4-CPHO losses.

因此，对第二至第七批中报告的所有含有C4----CPHO损失的索赔，又重新适用了C4----CPHO线性回归模型。