Similar words: regression line, regression, regression coefficient, degression, regressive, regressive tax, digression, ingression. Meaning: n. the relation between variables when the regression equation is linear: e.g., y = ax + b.
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31) Indicators of the bumper close planting tea orchard can be obtained from linear regression equation.
32) The data were analyzed by broad linear regression to carry the single factor and multifactorial analysis.
33) Also the linear regression equation between a cumulative temperature and duration was obtained.
34) This paper deals with the quantitative relations between regression coefficients and partial correlation coefficients in multivariate linear regression, and their statistical meanings.
35) For that, this paper gives a new characteristic index: time serial's Simple Linear regression Coefficient (SLC), this index is mainly used for the long time serial remote sensing image classification.
36) The data collected were described and analyzed with statistical description, t-test, analysis of variance , linear correlation and multiple linear regression.
37) Accordingly,(sentencedict.com) the end for multiple regression as against linear regression appeared quite reasonable.
38) Multiple linear regression and F-test were used to reveal the influence of sintering process parameters on the average speed at each forefront, and their relationships were proposed.
39) SECRET is a new algorithm for scalable linear regression trees.
40) There exist many problems for the logarithm linear regression formulations during estimating the cost of airborne avionics system.
41) The statistical methods used are general statistical description (such as mean and standard deviation), repetitive measurement deviation analysis, clustering analysis and multiple linear regression.
42) Methods: The risk factors were analyzed with multiple linear regression.
43) Multiwavelength - derivative method and linear regression spectrophotometry combined with least square method are applied to the simultaneous determination of NO_3 and NO_2 in water.
44) Methods Measure the depth of the soft tissue in the back neck of fetus, Biparietal diameter(BPD) , femur length(FL) and abdominal circumference(AC), and apply linear regression equation.
45) In this paper, an evaluation model is set up by utilizing statistical linear regression model method.
46) From a learning point of view, simple linear regression modeling is worth studying because it is the gateway to understanding more advanced forms of statistical modeling.
47) We avoid the interfere of different elements with the multiple linear regression gamma-ray detector.
48) And the quantitative relation is gained by the one dimension linear regression.
49) First order linear regression that automatically provides error calculations and graphic visualization.
50) Multiple linear regression and correlative analysis showed that the increase in optic axis was main factor for the formation of simple myopia of teenager.
51) The linear regression referred in the data preprocess strengthen the tide movement.
52) Methods Dummy variable is introduced into the linear regression equation to correct cyclical variation and reduce error of forecasting.
53) The main statistical methods were analysis of variance (ANOV A), multiple comparison, nonparametric test, t-test, linear regression and correlation and X2 test.
54) The sixth part forecasts the future logistics demand of Shandong Province on the basis of one linear regression, polynomial regression, gray system G(1,1) model and combination forecast model.
55) Students will focus on decision analysis, forecasting techniques, linear regression, project scheduling, queuing theory, and linear programming.
56) The statistical fractal features of the original coarse terrain data set were determined through linear regression, based on which a denser terrain can be derived by means of bilinear interpolation.
57) Next use factor analysis and multiple linear regression to exam the factors which influence on salesperson"s performance."
58) The basic goal behind simple linear regression modeling is to find the line of best fit through a two-dimensional plane of paired X and Y values (that is, your X and Y measurements).
59) Though the linear regression equation, grafting yield of product can be counted directly by contact angle.
60) The quasi-static input-output linear regression equation of the measuring system is established, and the testing results of input-output curve linearity and sluggishness are given.
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