Examples of using Regression model in English and their translations into Italian
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neural networks and regression models.
Analysis of the correlation between the primary variables and generation of regression models.
statistics, and regression modeling.
Survival models can be usefully viewed as ordinary regression models in which the response variable is time.
Regression models predict a value of the Y variable given known values of the X variables.
The automated calculation provides role in the analysis of econometric models and regression models, heteroscedasticity, serial correlation,
Simple models will be elaborated(e.g. regression models) in order to evaluate which are the driving factors for biological communities.
Fitting parameters to data==Survival models can be usefully viewed as ordinary regression models in which the response variable is time.
Robson(1977) analysed the impact of urban structure on air pollution using multiple regression models.
stream are computed by multilevel regression models.
especially in the development of linear regression models.
In fact, it is the only software for covering array design that also fits generalized regression models to data you collect.
For example, there is currently no other covering arrays design tool that also fits Generalized Regression models to data you collect.
Figure 2.2 allows comparison between the previously-discussed average gender gaps computed by a simple linear regression models, and average gender gaps computed by multilevel models that control for school year
Identify suitable regression models for data analysis, to analyse the data with advanced software, to summarise results
Let me guess… you have done your little consultant regression models that project that you can build this many hotels and lease this much land, and that your market
Examples include time-series regression models for predicting airline traffic volume or predicting fuel efficiency based on a linear regression model of engine speed versus load.
decision trees, and different regression models.
The evolutionof consumption at each re-delivery point is processedusing linear regression models that consider historical withdrawals, assigned capacity,
combined with satellite data or information from land-use regression models[1]- 41 cohorts in 16 countries,