Resultado de búsqueda
Hace 9 horas · The β values and 95% confidence intervals were calculated using univariate linear regression analysis and multivariate linear regression analysis. In order to investigate confounders, we added or removed covariates one by one in the linear regression model for correction and compared the corresponding effect values.
Hace 9 horas · The difference-based partially linear model is an appropriate regression model when both linear and nonlinear predictors are present in the data. However, when we want to optimize the weights using the difference-based method, the problem of variable selection can be difficult since low-variance predictors present a challenge.
Hace 9 horas · Generalized linear models and logistic regression were employed for analysis. The findings indicate a direct association between HL level and adoption of the Mediterranean diet (B = 0.022, 95% CI 0.010–0.035, p < 0.001), underscoring the influence of HL on dietary choices.
Hace 9 horas · Accurate house price prediction is vital for real estate stakeholders, including buyers, sellers, agents, and financial institutions. Traditional methods like linear regression often fail to capture the complex, nonlinear relationships in housing data. Gaussian Process (GP) Regression, however, provides a robust alternative, modeling intricate rela - ashedrack/House-Price-Prediction-with ...
Hace 9 horas · Also, we used Pearson’s correlation coefficient and linear regression models to evaluate the impact of soil salinity on the chemical properties of the soil. Results show that 38% of the study area has mild salinity, while 8% of the study area is affected by moderate salinity.
Hace 9 horas · 今後10年間の海面をメートル単位で予測する必要があります。 どのタイプの機械学習を使用する必要がありますか？ A. 分類 B. 回帰 C. クラスタリング Answer: C Explanation: In the most basic sense, regression refers to prediction of a numeric target. Linear regression attempts to establish a linear relationship between one or more independent ...
