Examples of using Regression model in English and their translations into Spanish
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What is a Latent Class regression model?
Hat Y_i$ is the regression model estimate value for the i-th observation.
This process is known as the validation and regression model diagnostics.
Calculates the regression model analysis of variance(ANOVA) values. Syntax.
XLSTAT-Life offers a tool to apply the proportional hazards ratio Cox regression model.
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Is the regression model statistically significant or a statistical data anomaly?
An ordinary least-squares(OLS) linear regression model is used to estimate the effects of.
A regression model was constructed separately for four types of pneumococcal diseases.
For example, suppose you want to fit a y=mx+b linear regression model to the following two lists.
In this paper, we will go over a simple, yet fundamental andoften asked question about forecast error in a regression model.
A Cox proportional hazard regression model was used to identify prognostic factors.
Manifestation or result, the value of which is explained orjustified by the influence of independent variables, especially the regression model.
Before we can seriously consider the regression model, we must answer the following question.
For the regression model presented in this section, dichotomous variables were devised for every country in the sample except for Costa Rica.
Subsequently, we ran a binary logistic regression model with the basic, political, and local effects variants.
In this tutorial series on linear regression analysis and modeling,will start with the general definition or topology of a regression model.
Once we establish that the regression model is significant, we can look closer at the regression coefficients.
Impact of corruption on support for stable democracy In order to determine the impact of corruption on support for stable democracy,we estimated a regression model for each component of support for stable democracy included in this study.
The response variable to obtain a regression model was the particle size distribution obtained by means of Dynamic Light Scattering.
This method is based on the hypothesis that the price of an article can be expressed in terms of a series of characteristics via a regression model that estimates the value of each of the characteristics that make up the good.
For this regression model we have considered e geographic regions as territorial divisions, except for Galapagos, where the survey was not conducted.
To deepen our analysis of authoritarian attitudes in Bolivia,we designed another linear regression model, including socio-demographic variables as well as our measure of support for the system, in order to estimate the predictors of approval of aggressive political participation in 2006.
The regression model attempts to explain and predict the weekly sales for each person(dependent variable) using two explanatory variables: intelligence(IQ) and extroversion.
An ordinary least-squares(OLS) linear regression model is used to have a better assessment of the factors that explain the high levels of political tolerance in this country.
The regression model attempts to explain and predict a sales person's weekly sales(dependent variable) using two explanatory variables: Intelligence(IQ) and extroversion.
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.
The regression model presented in this section uses dichotomous variables for each country, with the objective of analyzing the impact of context on individual support for the institutions for the rule of law, taking Costa Rica as a reference.
Once we confirm that the regression model explains some of the variation in the values of the response variable(weekly sales), we can examine the residuals to make sure that the underlying model's assumptions are met.
She uses a hierarchical linear regression model to analyze individual and country contextual factors together, controlling for age, gender, schooling levels, and crime victimization, all possible explanations of differences between Latin America and the US and Canada scores on social trust.