Linear Regression Models
Water quality control in Third River Reservoir (Argentina) using geographical information systems and linear regression models
... created models of estimated responses in regard to values of ...population models of single and multiple linear regression, whose parameters are associated with the reflectance data of bands 2 ...
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Does raising type 1 error rate improve power to detect interactions in linear regression models? A simulation study.
... Two other important points should be made. First, given how low power was, even at an elevated level of statistical significance, for many scenarios, a researcher’s failure to detect an interaction effect does not ...
5
Trends Psychiatry Psychother. vol.39 número4
... Multiple linear regression models were used to estimate the predictors of postpartum EPDS scores (dependent variable): 1) the relation between the cortisol AUC G , which is the plot of cortisol ...
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A digital image based method to quantify intracellular polyphosphates in microbial aggregates
... some linear regression models having high regression coefficients (higher than ...all models when comparing to the other color spaces, particularly in MB stained images and diluted ...
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Main Meal Quality Index (MMQI)
... Correlations between MMQI and overall dietary quality – assessed using the Brazilian Healthy Eating Index Revised – were explored using linear regression models adjusted for gender, [r] ...
9
Is city of residence a factor differentiating sitting time in adolescents?
... mixed linear regression models were used to estimate the relationship between the independent variables and sitting time ...Hierarchal models were estimated to account for the nested nature of ...
9
J. Pediatr. (Rio J.) vol.92 número5
... multiple linear regression models were adjusted with regression coefficient estimates, considering as statistically significant associations with p ≤ ...
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Neutrosophic Correlation and Simple Linear Regression
... Linear regression models are widely used today in business administration, economics, and engineering as well as in many other traditionally non-quantitative fields including social, health and ...
6
Braz. J. Phys. Ther. vol.18 número1
... multiple linear regression models, with the SGRQ activity and psychosocial impact scores as outcome variables, and 10 explanatory variables (age, gender, forced expiratory volume in the irst second - ...
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Alline Aparecida Freitas SILVESTRE1 , Jesuí Vergílio VISENTAINER2 , Nilson Evelázio de SOUZA
... simple linear regression models were highly significant (p ...of linear variations between the means of the parameters analysed and storage ...
8
Maternal factors associated with fetal growth and birthweight are independent determinants of placental weight and exhibit differential effects by fetal sex.
... Descriptive data are reported as mean and standard deviations or numbers and percentage as appropriate and are shown in Table 1 and 2. The outcome variable was placental weight (g). The maternal characteristics chosen as ...
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Rev. Esc. Minas vol.68 número2
... Two linear regression models (CLRM and ULRM) were applied without any data-cleansing (due to the larger size of inclusions used in the present investigation) to investigate the strength of the ...
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2 MATERIAL AND METHODS 2.1 Study site and fi eld data collection
... simple linear regression models, computing biophysical values (dendrometric variables and D) as dependent variables and computing refl ectance values associated to the near-infrared spectral band on ...
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Modelos para predição da área foliar individual de leguminosas forrageiras
... fit linear or non-linear regression models to predict the individual leaf area of six species of forage legumes, based on digital images analyzed with the package LeafArea, R ...prediction ...
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Rev. bras. ortop. vol.51 número2
... multiple linear regression models that efficiently estimated the risk of injury to arteries, veins and nerves from the num- ber of pins or screws that each procedure in each region would ...
6
Mean sze of the landed catch: a fishery community index for trend assessment in exploited marine ecosystems
... FIGURE 1 | Inter-annual size-box relative frequency distribution for total catch and by fishing sector, Trawl, Seine, and Multigear left panel and significant linear regression models be[r] ...
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REPOSITORIO INSTITUCIONAL DA UFOP: Association between weight at birth and body composition in childhood : a Brazilian cohort study.
... The Microsoft Office Excel 2003 (Microsoft Corporation, Washington DC, USA) and Stata 9.0 (Stata Corporation, College Station, TX, USA) soft- ware were used for storage and statistical analysis of the data. The data were ...
5
Cubic-spline interpolation to estimate effects of inbreeding on milk yield in first lactation Holstein cows
... traditional linear regression and fixed factor models, but also the best cubic-spline model for comparing estimates of the effects of inbreeding on milk yield and of variance com- ponents and ...and ...
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Analysis of dental caries using generalized linear and count regression models
... Generalized linear models (GLM) are generalization of linear regression models, which allow fi tting regression models to response data in all the sciences especially ...
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Regression Models for Predicting Force Coefficients of Aerofoils
... However, it was found out that the difference in the actual values of the lift and drag coefficients (in these zones) and that estimated by the trigonometric functions in these zones were giving reasonably good fit when ...
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