Sentence examples for mean linear regression from inspiring English sources

The mean linear regression provides the mean relationship between a response variable and explanatory variables (Yu et al. 2003).

The traditional mean linear regression is concerned with the estimation of the conditional expectation E y|x) (Yu et al. 2003).

The 3D scatter diagram in Fig. 3 appears that it can be modeled using mean linear regression model (3) for the CO2 emission per capita related with the ln(GDP) and ln(E.C).

Also, when analyzing extreme value events, where the response variable y has a heavy-tailed distribution, the mean linear regression cannot be extended to non-central locations (Hao and Naiman 2007).

The traditional mean linear regression (LS) estimator (widehat {boldsymbol {beta } } _{LS}) in (1); The regular quantile regression Q R estimator (widehat {boldsymbol beta } tau) ) in (5); The proposed weight quantile regression Q W estimator (widehat {boldsymbol beta }_{W} tau)) in(6 with weight w i (x i,τ =f i (ξ i (τ,x i )) in (7).

Authors of seven out of nine studies found a strong correlation between one or more metabolites in exhaled breath and blood glucose levels, with a mean linear regression coefficient of 0.82 [range: 0.08-0.98] (Table  1).

Measures of association (odds ratios, prevalence ratios, standardized mortality ratios, relative risks, relative hazards, comparisons of means, linear regression coefficients, correlation coefficients) and their standard errors were abstracted or derived from published data (Greenland 1987).

After correction for observed differences between the groups by means of linear regression analyses, the mean annual total compulsory insurance costs of patients of CAM GP practices are €225 (95% CI 169 to 281; p<0.001; 12.4%) lower.

We refer to the power b in Taylor's law as the slope when b is estimated from log variance = log a + b log mean by linear regression.

Estimation of the group mean by linear regression may perform better than averaging individual values (c.f., Section II.5 in the book by Christensen [49]).

Furthermore, the changes in PMSS and SCL-5 scores between T1 and T2 were tested using the mean of linear regression models.