Examples of using A linear regression in English and their translations into Spanish
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presently used by CCAMLR for the estimation of biomass is a linear regression model derived from measurements of northern hemisphere zooplankton.
effect of x i{\displaystyle x_{i}} on y i{\displaystyle y_{i}}, as one would with a linear regression model; this is a common error.
In order to respond to this question, a linear regression was carried out in order to identify the variables that predict whether or not someone will
we ran a linear regression having, as a dependent variable, the number of organizations which informants say they participate in.
The statistical method used in this section is a linear regression because the dependent variable continues to take on higher values when perception of insecurity increases among Ecuadorians.
After running a linear regression analysis for each of the two dependent variables that include a person's age, sex,
of the identified measures, Argentina reported the use of a linear regression model, and Armenia reported the use of a methodology which reflected the IPCC Guidelines source categories.
C4-CPHO losses, a linear regression model was used to assist with the valuation of recommended amounts for C4-MV repair losses meeting electronic proof of ownership and with amounts claimed for repairs in excess of US$500.
Tax effort is the ratio of tax revenue to GDP in relation to the revenue projected by a linear regression of the ratio of tax to PPP-adjusted(purchasing power parity)
The results of a linear regression(see table in Appendix II)
The initial analysis of the determining factors for support for the system was carried out through a linear regression which takes into consideration individual perceptions of the national and personal economic situation
is a generalization of a linear regression model that consists of several regression equations,
it finds a linear regression model by projecting the predicted variables
In the past, this control for excess variability has been accomplished by grouping household food consumption levels according to income deciles.99 In this edition of The State of Food Insecurity in the World an extension of the method described above is used, based on a linear regression linking the log of per capita income to per capita calorie consumption,
Data were analyzed by a linear regression model.
Diagrammatic exposition of a regression equation, generally referring to a linear regression.
We complement this analysis with a linear regression estimating the predictors of support for the system in 2006.
Another reason the the std dev channel is that I use it as a linear regression tool to define the slope of the trend.
XLSTAT-Pro offers a tool to apply a linear regression model.
Interpreting the results of a multiple linear regression.