Examples of using Linear regression in English and their translations into French
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The GLM generalizes linear regression by allowing the linear model to be related to the response variable via a link function
A linear regression shows that this ratio increases- on average- with field size,
Quantitative analysis performed using linear regression models with mixed effects,
The State of Science and Technology in Canada, 2012 The log-log linear regression analysis is performed using reduced major axis(RMA)
In order to control for this bias, we have adopted an“adjusted” approach consisting in excluding from the linear regression analysis the returns corresponding to months where the companies announce their quarterly results.
While the principles underlying the technique of linear regression are well-established, the application of
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.
shall be introduced to the measurement system, and the measured values shall be compared to the reference values by using a least squares linear regression in accordance with equation 11.
To account for uncertainty in the survey data and regression, the estimated collection rates for a given year were allowed to vary by± 10% from the linear regression in the Monte Carlo simulation.
the measured values shall be compared to the reference values by using a least squares linear regression in accordance with equation 13.
In Figure 129 we develop a linear regression model to examine whether satisfaction with local services is associated with support for the political system in Haiti,
Figure 49, we use linear regression analysis to examine the personal characteristics
One way to quantify this is by applying linear regression to the Fourier magnitude spectrum of the signal,
In statistics, particularly in analysis of variance and linear regression, a contrast is a linear combination of variables(parameters or statistics) whose coefficients add up to zero,
including linear regression, decision tree clustering,
Linear regression of the calculated output values of the reference HV model SILS run on the provided reference values(in accordance with paragraph A. 9.4.4.) shall be performed.
While there exists an optimal analytical solution to simple linear regression, the simplicity of this problem makes it an excellent candidate to demonstrate the inner workings of the gradient descent algorithm.
Operating on a two dimensional set of observations(two continuous variables), simple linear regression attempts to fit, as best as possible,
While it is possible to apply this method to simple linear regression, it is generally used for non linear regressions where an analytical solution would be computationally prohibitive
A more verbose mathematical reasoning can be found in the wikipedia article for simple linear regression, as well as the notes for a statistics class from the university of florida.