200 resultados para REGRESSÃO LINEAR
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OBJECTIVE: This study aimed to analyze the correlation between the levels of functional dependence of elderly living in the community, the burden related to care and the perception of quality of life in familiar caregivers. METHODS: This is an observational, descriptive and analytical study, using non probabilistic sampling selected by convenience in the period from December 2008 to May 2009, in the urban area of Curitiba and Colombo, state of Paraná, Brazil. Interviews were applied to caregivers, using demographic inquiry, functional evaluation of the aged, burden interview (Zarit-Burden-Interview) and quality of life instrument (WHOQOL-Bref). Spearman, Mann-Whitney and Kruskal Wallis coefficients were used to analyze the correlations between instruments and socio-demographic variables. Bivariate analyses identified which variables correlate with burden, and the most significant were included in a multiple linear regression. RESULTS: Forty-five caregivers were interviewed, mostly women (91.11%) with high educational level attending dependent elderly (66.77%). Moderate/severe burden was perceived in 75.55% of the sample. We found correlation between dependence, more severe burden in caregivers (r=-0.281, p=0.013) and worse perception of quality of life. The multiple linear regression identified strong association between burden related to care and psychological domain from WHOQOL-bref and time as caregiver (R²=0.58, p<0.001). CONCLUSION: In a sample of familiar caregivers, we identified correlations between lower burden related to care and better quality of life perceptions, as well as higher disability and less satisfactory quality of life perceptions.
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The estimation of reference evapotranspiration (ETo) subsidizes the calculations of water consumption in irrigated agriculture. The use of simpler methodologies are common however should be carefully studied. The present study evaluated the sensitivity of the Hargreaves -Samani equation compared to the standard Penman-Monteith -FAO to estimate ETo for the climatic conditions of the Bebedouro-SP region, simulating the effects of increasing and decreasing 5 % in the temperatures, resulting in ten different scenarios (PM -Penman-Montheit -FAO; S0 -original Hargreaves Samani; S1 to S8 -modified Hargreaves Samani). The obtained results of sensitivity, linear regression, accuracy and concordance index, were compared. We concluded that the Hargreaves -Samani equation overestimates the monthly values of the ETo in 13% compared to the standard method. A variation of 5% in maximum and minimum temperatures resulted in errors of up to 1 mm day-1 (monthly average) and this increase is more expressive in maximum temperature.
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The purpose of this article is to demonstrate an application of the design of block experiments via analysis and multiple linear regression in the investigation of a steel thermal treatment process with multiple responses. The study aimed to design statistical models to predict the mechanical properties in SAE 9254 draw steel wires, with diameters of 2.00 mm and 6.50 mm, after quench hardening and tempering. For this purpose, process input variables (wire diameter, processing speed, tempering temperature and polymer concentration) were investigated regarding their influence on the material tensile strength, yield point and hardness. The results revealed that the mechanical properties of the steel wire are significantly influenced by the selected variables, and analysis of variance (ANOVA) was employed to validate the design of the statistical models. Multiple linear regression allowed for an appropriate representation of the process, and graphical analysis was found to be very useful in displaying the behavior of the multiple responses.
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Pós-graduação em Agronomia (Ciência do Solo) - FCAV
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Pós-graduação em Fisiopatologia em Clínica Médica - FMB
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Pós-graduação em Ginecologia, Obstetrícia e Mastologia - FMB
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Pós-graduação em Agronomia (Energia na Agricultura) - FCA
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Pós-graduação em Agronomia (Irrigação e Drenagem) - FCA
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Pós-graduação em Engenharia Elétrica - FEIS
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Pós-graduação em Ciências Cartográficas - FCT
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Pós-graduação em Pesquisa e Desenvolvimento (Biotecnologia Médica) - FMB
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Pós-graduação em Zootecnia - FMVZ
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)