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- Use unary regression analysis, we can get ink consumption and linear relationship between the change in the gross domestic product, that is, the regression equation. 利用一元回归分析方法，我们可以得到油墨的消耗量与生产总值变动的线性关系，即回归方程。
- The application of computer in unary regression analysis 计算机在一元回归分析中的应用
- unary regression analysis 一元回归分析
- Nonlinear regression analysis and its applications II. 非线性回归分析及其应用2。
- IMTmean, IMTmax and the Crouse scorehad regression analysis. 直线相关与回归分析发现血清铁蛋白与平均内膜-中层厚度、最大内膜-中层厚度及Crouse积分之间均呈明显的正相关。
- Regression Analysis of Valve Gear Structural Dimensions in ICE. 配气机构零件结构参数的回归分析
- Methods \ Using correlation and regression analysis. 方法使用相关回归分析。
- Cox regression analysis showed STAT5 was an independent prognostic factor. cox回归分析显示STAT5是独立的预后影响因子。
- Cox regression analyses were performed. 数据采用回归分析处理。
- Only age, BMI and leptin correlated to BMD by multiple regression analysis. 多元线性回归分析,仅年龄、体质量指数、瘦素与骨密度相关。
- This survival difference persisted after multiple logistic regression analysis. 在多元分析后，二者之间的不同仍在持续。
- A Logistic Regression Analysis on Risk Factors of Cleft Lip and Palate. 唇腭裂发病因素的logistic回归分析
- When applying regression analysis, people sometimes find a relationship between two variables that, in fact, have no common bond. 在应用回归分析时，有时人们所确定的两个变量之间的关系，事实上并不存在。
- The nucleation and growth rate equations of DSP were determined by non-linear regression analysis. 确定了反应结晶和溶析结晶过程中晶体成核和生长速率方程。
- Logistic regression analysis was used to test the hypotheses in a sample of84 Taiwan-based biotechnology ventures. 本研究以84笔台湾生技事业样本，以逻辑式回归分析检视研究假设。
- Partial Correlation and Regression Analysis on Yield Composition of Feed Barley XiyinNo. 饲料大麦西引二号产量依其构成因子的偏相关及回归分析。
- Trendlines are used for the study of problems of prediction, also called regression analysis. 趋势线用于问题预测研究,又称为回归分析。
- Cox regression analysis of factors predicting the hemorrhage risk of cerebral arteriovenous malformations. 脑动静脉畸形出血危险因素的Cox回归分析。
- The relationships between pancreatic dimensions and body height, body weight, surface area and age were evaluated with linear regression analysis. 这4个不同的胰脏因数，再分别与身高，体重，体表面积与年龄作线性回归分析。
- Using multiple regression analysis, age, duration and RRBT were associated with RRAT (R=0.59, R 2=0.35). 前牙区RRAT校正均值为 0 5 9,后牙区为 0 12 ,差异有高度显著性。
