Examples of using Linear regression models in English and their translations into Spanish
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Linear regression models edit.
Relationship with linear regression models.
Linear regression models were used for determining the associations.
To do this we used multiple linear regression models.
Multiple linear regression models were tested(p<0.05).
The course also includes an extensive discussion of the multiple linear regression models.
Multiple linear regression models were used for the analysis.
Pearson's córrelations and multiple linear regression models were fitted. Results.
Multiple linear regression models were fitted based on field and GIS data.
The X-12-ARIMA software comes with extensive time series modeling andmodel selection capabilities for linear regression models with ARIMA errors regARIMA models. .
The class of linear regression models is diverse and ubiquitous.
One must know the contents of the course"Statistics", specifically:- Have a clear idea of variability- Know probability distributions(such as normal,t-student,)- Be able to perform a comparison of treatments(t-test)- Know how to fit linear regression models.
Fully adjusted linear regression models were used for comparison.
Linear regression models can then be used to test the hypothesis of psychosocial stress and that of the cost of divorce.
For the analysis of the factors that predict support for the system, we employed the three linear regression models with the variants indicated in Chapter II(basic, political, and local effects).20 In relation to system support, the predictive capacity of the basic model is very low(r2=0,057);
Linear regression models were fitted to the samples from a Mediterranean case study in the northern(35o-55o N) and southern(25o-35o N) belts.
The assumptions of the linear regression models are evaluated under minimum least squares(MLS).
Unlike linear regression models, which are fitted by using weighted least squares and have an exact solution, the estimation procedure for a GAM requires iterative approximations in order to find optimal estimates 7.
Linear regression models were developed to predict the SSC at harvest using Hunter a and b values(r2=0.83) or by using reflectance values between 440 and 480 nm the blue portion of the visible spectrum, r2=0.8.
The linear regression model shows that as one's political sophistication increases, he or she increasingly values the platform when deciding how to vote.
ARMAX is essentially a linear regression model that uses an ARMA-type model for residuals.
SARIMAX is essentially a linear regression model that uses a seasonal ARIMA-type model for residuals.
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.
For example, suppose you want to fit a y=mx+b linear regression model to the following two lists.
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.
There are several different frameworks in which the linear regression model can be cast in order to make the OLS technique applicable.
To discover the factors that exerted influence in the increment,we have fitted a linear regression model as shown in Figure VII-6.
In statistics, simple linear regression is the least squares estimator of a linear regression model with a single explanatory variable.
In statistics, the Ramsey Regression Equation Specification Error Test(RESET)test is a general specification test for the linear regression model.
