1. This can cause regression in a pupil's learning process.

2. He began to show signs of regression to his childhood.

3. What it proposes is regression to the zero time.

4. Children oscillate between regression and progression.

5. Linear regression was used for comparison with different variables.

6. Two stepwise logistic regression procedures were performed.

7. The graph is a linear regression of.

8. Multiple stepwise regression analysis was also applied.

9. It was an extraordinary regression into the womb.

10. Respiratory symptoms were analysed by multiple logistic regression and lung function standard deviation scores by multiple linear regression.

11. The regression itself took place on Joyce's second visit; the first was used to teach her deep relaxation.

12. And these kindergarten programs may seem like a regression from full-day preschool programs.

13. We chose linear regression for describing the overall changes in mean sperm concentrations, but other statistical models have also been tested.

14. Regression therapy can also involve taking a patient back into the womb.

15. When the regression was over, Sylvia expressed amazement at what had been revealed.

16. Logistic regression models were used to determine which variables significantly and independently could predict bacterial pneumonia and to adjust for potential confounders.

17. Table V shows results of stepwise multiple linear regression analysis of outcome variables from the ventilated infants.

18. The use of multiple logistic regression allowed the selection of the most useful clinical signs which are predictive of hypoxaemia.

19. We can use multiple regression analysis to discover the relative influence of these factors on perceptions.

20. When this was faced and dealt with under regression therapy, the whole situation, including the shoulder spasm, was resolved.

20. Wish you can benefit from our online sentence dictionary and make progress every day!

21. Multivariate analysis was carried out by unconditional logistic regression analysis.

22. Loss of viral replication by interferon can lead to a substantial regression of liver disease and probably prolonged survival.

23. Many authors find a challenge in t and tests and regression coefficients.

24. Then one day Kirsty met an old friend who happened to have consulted me in the past for regression therapy.

25. What I will say in answer to the question is that I personally always use hypnosis as the first stage of any regression session.

26. This might happen because he chooses to listen to the recording of the regression, or it might arise spontaneously.

27. We therefore omitted time from the analysis and used logistic regression to identify additional risk factors.

28. Again, this was confirmed by the application of simple statistical regression analysis.

29. Bjornsson decided not to use a formula derived from multiple regression analysis.

30. The conventional approach to such questions is to use ordinary least squares regression methods, which are often unsatisfactory.

31. The regression analysis indicates that 50 percent of the variance is explained by these variables.

32. In many cases you will not be sure - particularly if this is your first experience of regression therapy.

33. The research explores the determinants of strike activity using regression analyses of yearly time series data obtained from official statistics.

34. The symptoms are periodic spells of regression: They drop to all fours, bark, befoul their apartments.

35. Linear regression, for example, requires all the data to be collected ahead of time and then processed all at once.

36. On logistic regression, the presence and extent of gastric metaplasia was not significantly associated with H pylori infection.

37. There are also some patients who make wonderful subjects for hypnotic therapy but who are unable to relax sufficiently for regression.

38. Using multiple linear regression analysis, gastritis with atrophy was the only factor that had an independent negative effect on acid secretion.

39. Naturally, this is not so in the case of regression therapy.

40. Among modifiable factors only access to a dietitian and an interested general practitioner featured significantly in the final multiple regression analysis.

41. Yet in spite of this regression to the use of Hollywood racist images, it was still applauded at Creteil.

42. The decision to use regression By the second visit Maxine had become quite adept at using the techniques I had taught her.

43. All this was information that Kirsty revealed to me during the course of the regression session while she was under hypnosis.

44. He was able partly to overcome continuing obstructionism by using techniques of regression analysis to estimate load characteristics.

45. Moreover, the illness leads to profound regression, and the patient needs help to resume normal psychological growth.

46. His religion is as much as anything the regression to a past of obedience, disobedience, sin and doom.

47. Is the discredited regression therapy still taught and used in any homes and, if so, will he make it illegal?

48. The specification of such regression models necessarily involves many assumptions.

49. The use of the imagination is one of the vital components of successful hypnotherapy, whether regression is involved or not.

50. How do you build up the picture in a regression session?

51. For each patient,[Sentencedict] p was calculated according to the value of each variable and its respective regression coefficient.

52. Shared care did not contribute to the multiple linear regression model.

53. A multiple linear regression model was used to assess the independent effects on diabetic control of those variables studied.

54. In past-life regression will I progress from childhood to adulthood?

55. That seems a recipe for a mental breakdown. Regression therapy can also involve taking a patient back into the womb.

56. Variables were entered into or removed from the logistic regression equation one at a time.

57. New methods of non-linear local regression can reveal hidden patterns in a scatterplot.

58. The relationships between variables were evaluated by the simple correlation coefficient and a multiple regression analysis.

59. Each patient had three measurements of bone mineral density and rates of bone loss were estimated by linear regression for each subject.

60. It is quite likely that you not only have no experience of regression therapy but have never even been hypnotized before.

61. Even with stringent controls for partisanship and ideology, multiple regression analyses show that the press had a significant influence on preferences.

62. To investigate relations between sets of possible explanatory factors and each outcome variable a stepwise multiple linear regression analysis was used.

63. Correlation studies were performed using linear regression and Spearman's correlation coefficients were calculated.

64. All the questions so far have related to hypnotherapy in general - whether or not regression forms part of that treatment.

65. Therefore, the regression coefficient is often considered as a measure of the effect of the independent variable on the dependent variable.

66. Potential prognostic factors were investigated with Cox's proportional hazards regression model.

67. Time trends and age at diagnosis were evaluated with a linear regression model by the method of least squares.

68. It is only by means of regression that the root of such cases can be discovered and the foundation laid for the follow-up treatment.

69. Many of the published regression models are quite successful in analysing past data.

70. Then came two men who made very significant contributions to the area of past-life regression.

71. The freedom in the growing up of the child allows a fixation to the pregenital phase and facilitates regression to it.

72. Expressed in terms of individual psychology, the danger was one of dissolution of the painfully acquired superego and corresponding regression in the ego.

73. The best fit between these measurements for each patient was calculated by non-linear regression analysis.

74. A scatterplot is needed to assess the linearity assumption underlying each correlation or regression coefficient between pairs of quantitative variables.

75. The logistic regression analysis showed that of the seven reflux variables only hiatal hernia predicted oesophageal mucosal status.

76. This correlation is confirmed in the regression model which also shows a negative correlation with education level of project leader.

77. This also will provide for regression testing.

78. Linear Regression with Transformations of the dependent variable.

79. The spontaneous regression of established tumors is a rare.

80. Multiple linear regression is used extensively in prediction.

81. Examples of neural coding. Simple linear regression.

82. Data were analyzed using variance and multiple regression analysis.

83. The regression equation was established stepwise simultaneously.

84. The ridge regression method is applied to impedance inversion.

85. Two mathematical models of bluish dogbane textile processing were set up by single variable linear regression analysis: one is for the mass of No.

86. Results were analyzed using t tests,[http:///regression.html] analysis of variance and linear regression.

87. The choice of steroid depended on course of wound healing and regression.

88. In practice, we can dispart hereinafter class : classification, clustering, regression, sequence, etc.

89. Absrtact: The regression of the humanist spirit is the incoercible trend in the current development .

90. On the data including the discrete points, least square estimation can not control the strong error affecting the regression curve.

91. In this paper, the better measurement exactitudes of the first excitation potential of mercury atom were gotten by using the liner regression method in drawing up experiment curves.

92. Application SPSS then do regression analysis shows that equation, after the screening.

93. The relationship between the Brix and the total soluble sugar content of sweet sorghum stalk juice was determined through one-dimensional linear regression.

94. The regression model has a good directional sense to improve furnace, and maintain a sustained and stable production process.

95. HEM is built up with projects history data by statistic regression analysis and the least squares.

96. The effect of colinearity is to make the regression coefficients unreliable.

97. We use the One Way ANOVA, Principal component analysis and Multiple Regression as study model.

98. The latent root regression model with near-infrared spectra of 40 soybean samples was founded for analyzing the content of soybean protein in this study.

99. The collected data were analyzed by descriptive statistic - way ANOVA, product - moment correlation and multiple stepwise regression analysis.

100. Afterwards the results are analyzed through nonlinear regression in order to get the function between the amount of dust particles and time of vibration and vibration frequency.

101. Analysis of covariance is a combination of regression analysis and variance analysis.

102. Simple regression equations applicable to calculate pull - separating deformation were given.

103. The regression equation of cutting force meets the experiment result very well, the response curved face derived from the regression equation can help to choose proper high-speed cutting parameters.

104. We do not perform extensive regression testing on the CCH, but the same fix is merged into the next maintenance release where we do perform that level of testing.

105. In the thesis, the importance of index is decided by partial least square regression method, and CUSUM control chart monitoring the variation of customer satisfaction is introduced.

106. In order to improve adaptability and robustness of algorithms, we present another TOA/TDOA data fusion algorithm based on Support Vector Machine Regression for radiolocation.

107. In the regression, the man found himself in the battle of Somme of World War I on the British side.

108. Then , the regression equation of height to the mini - cross sectional area of femoral neck was concluded.

109. This paper uses simple regression analysis to examine how foreign aid affects the economic growth through economic experiences of 83 developing countries over 2000-2004.

110. According the characteristics of the flight data, the moving quadric polynomial regression model is established and is transformed to the orthogonal polynomial to calculate the regression coefficient.

111. Starting from the meaning of investment multiplier, this paper establishes the calculation model for industrial investment multiplier, and gets multiplier value by the analysis of regression.

112. Multi - output support vector regression ( MSVR ) algorithm can be used for the regression of multi - input multi - output data.

113. Multiple stepwise regression analysis demonstrated that serum androgen level was independently related to serum AMH level in patients with PCOS.

114. A graphic display system of emulation with the burning surface regression of the star perforation grain on IBM-PC/XT microcomputer is developed.

115. Support Vector Regression is an important kind of method for regression problems. The predicting speed of Support Vector Regression is proportional to its sparseness .

116. The predictive models of fuzzy graph, nonlinear regression and with grey theory are set up from different aspects by analyzing the features of road traffic accidents.

117. The algorithm solves nonlinear regression problems mainly through inductive - insensitive loss function and kernel function.

118. The meteorological model for regression days and hours in Xuzhou was established.

119. Stabilize SW quality agilely and prevent baseline quality from regression.

120. In this paper, according to the test results, the functional relationship between the surface hardness value (HV)and the load for nitrided and nitrocarburized layer was studied by regression analysis.

121. The kernel regression method now is the most popular non - parametric estimation method.

122. In this section, you'll customize QueryReadStore and TreeGrid to implement partial loading and fix regression bugs.

123. A simple polynomial regression for experimental data shows that main flow velocity and perforation flow velocity are main factors resulting in mixture loss under given conditions.

124. Comparisons of optimum results between the genetic algorithm method and the traditional regression method as well as optimum seeking method were performed.

125. There is a range of applied force over which the regression rate remains constant.

126. The complanation and humanity regression are the general characteristic of the game tendency, and humor, puffiness, ridiculous, and making joy are the main expression.

127. Chi - square test, CMH test and Logistic regression were used in the statistic analysis.

128. Nicotine accumulation was negatively related to transplant period, regression coefficient was - 0.025.

129. The static state models of an EGO sensor were obtained by using piecewise polynomial method and nonlinear regression analysis method based on available experimental data.

130. Based on the relationship frame of technology innovation input-output-corporate competence, a panel data of the sample industry from 1995 to 2004 is used to do a regression analysis.

131. The piecewise polynomial regression model was established based on analyzing the scatter diagram of the speed change with the install distance.

132. The total days frequency of heavy fog of each month presents the double-peak pattern. The polynomial regression analysis result indicates that the annual change of...

133. In regression, we can have only one dependent variable in our estimating equation.

134. Data processing method are: range analysis, variance analysis, correlation analysis, linear and curvilinear regression, hierarchical analysis.

135. Least-square principle method was used to process experimental data and the regression line obtained. The failure mechanism of the He-Ne laser tube under different current has been analyzed.

136. Prerequisite: STAT 250. Emphasis on applications. Topics include analysis of variance, multiple regression, and nonparametric inference. A statistical computer package is used for data analysis.

137. The regression equations and similar factors were used to compare the predicability of the ANN and response surface method based on the binomial equations.

138. Real per capita investment spending on plant and equipment also exhibits a positive regression coefficient.

139. We must take care to reappraise the historical data we use to estimate the regression equation.

140. The main statistical methods were analysis of variance (ANOV A), multiple comparison, nonparametric test, t-test, linear regression and correlation and X2 test.

140. is a sentence dictionary, on which you can find good sentences for a large number of words.

141. Regression estimates : including intercept and coefficients for linear, quadratic and correlation coefficient.

142. Multivariate regression analysis suggested that the close correlative factors to ISI were high density lipoprotein, very low density lipoprotein and CEcAMP.

143. Correlation factors between them are analyzed via statistic regression, where thickness of ore formation is regarded as a random variation.

144. That is , the regression line would tend to overestimate the magnitudes of Y.

145. The regression model based on 45 years data (1951-1995) with the two parameters has a multiple correlation coefficient of 0. 66.

146. Bronchial responsiveness to methacholine was expressed as a continuous ariable, and analyzed by multiple regression.

147. Taking degree of hydrolysis(DH) as criterion, the pancreatin hydrolysis of sesame protein was studied by applying a five factors quadratic regression orthogonal rotation grouping equation experiment.

148. Students will focus on decision analysis, forecasting techniques, linear regression, project scheduling, queuing theory, and linear programming.

149. Methodologically, these funds are studied by using panel data regression because this regression is more efficient.

150. Absrtact: The optimization choice of test case in regression testing is one of the key steps. Advance the efficiency of testing via equivalence partitioning method belonging to black box testing.

151. Through adopting forward selection variables, the relative optimal regression model was achieved.

152. The prediction formula and its error estimation are also established. Its regression and time-varying autoregression model is presented.

153. It is inferred that the cause of the event was a global regression at the end of the Guadalupian, and the event continued for a long time that is equal to the late Capitanian period.

154. In addition, some information of the future value of random disturbance term in regression analysis is delivered by complex model, so that the forecasting accuracy is improved.

155. The process of suggested variables selection method is simple, and the accumulated error is smaller than that of partial least-squares regression.

156. This paper uses regression analysis method to carry out the discussion on correlation between the growth of the listed companies and structure index of stock rights.

157. The concepts of marine transgression and regression are considered to be fundamental.

158. The correlation coefficient y-intercept slope of the regression line and residual sum of squares should be submitted.

159. An error correction method for three axial fluxgate sensor based on support vector regression(SVR)is proposed.

160. With a minimum of mathematics and an engaging, highly rewarding style, Bloomfield provides in-depth discussions of harmonic regression, harmonic analysis, complex demodulation, and spectrum analysis.

161. After unit root test and cointegration test , regression was performed quantitative relation was worked out.

162. The result of regression shows that value of listed companies is positively correlated with asset and liability rate and yield of asset, and is negatively correlated with the ration of floating stock.

163. Their relation with geographical factors was studied by partial correlation analysis in combination with regression of principal components.

164. The most accurate method to determine the behavior pattern of a mixed cost is least - squares regression.

165. There were significant differences between all of aged groups in regression coefficient significance tests, except between 18-25 and 26-45 aged group in female.

166. This paper makes use of auto regression model named AR in the array of time to found out the stochastic process of pulse wind. The suitable step number of auto regression ...

167. Methods:Four factors quadratic regression rotation combination design and agricultural biological statistics were applicated.

168. We have build the multivariate orthogonal polynomial regression forecasting model of the economical effect on winter wheat production.

169. In this study, correlation and regression analysis reflect the qualitative semi-quantitative relationship of remote sensing indicators and the growing parameters.

170. According to real tested data, it builds up CVC cambering curve equation by polynomial regression. This paper discusses practical significance of the equation.

170. is a online sentence dictionary, on which you can find excellent sentences for a large number of words.

171. According to the logistic regression, the important predictors of skin tears were age, mobility limitation, ADLs independence, and abnormal skin presence.

172. Correlation and regression analysis indicated that certain gender differences of the relationships between the behaviours and CET4 scores existed.

173. It is fond to be very powerful to combine regression analysis and ANN method to obtain semi empirical model of chem. process.

174. Multiple regression analysis confirms that the specific determinants are home-country import from China, technological sophistical level, exchange rate variety, and cultural distance.

175. Using 11 varieties of Gossypium hirsutum L. as parents, the relation of major economic character was analyzed between F1 of 10 hybrid combination and their parents by constant parent regression.

176. This paper considers the classification compression principal component estimate of regression coefficient in growth curve model and proves that it is superior to least squares estimate.

177. Besides, the history of least one-power method and least squares method, multiple solutions and the various effects of outliers on the regression line are discussed.

178. As the regression of the neo-romanticism, 30 years old of a few right-and-left people begin to be infatuated with Europe type amorous feelings afresh again.

179. The regression line is derived from a sample and not from the entire population.

180. The next step in the simple linear regression procedure is to determine if the remaining squared error of prediction is acceptable or not.

181. This paper deals with the mathematic model of 3 multiple regression for RIA(Radioimmunoassays)Dose-Response Curves by law of mass action in biochemical react.

182. Principal component regression (PCR) method is used to analyse monocyclic and polycyclic aromatic hydrocarbons in white oil. The computer program of PCR is based on VB language.

183. A mathematical regression model was presented in this study for the separation of sterols in methyl(esterification) of rapeseed oil deodorized distillate by central composite design.

184. In the second chapter, I propose semi-parametric estimate to get median regression models with the measured error margin and use it to estimate the mediant of survival data.

185. Characteristic defects are of two main types; regression and syneresis.

186. Using international current correlation and regression analysis method, we make a project of capacity and structure of labor employment.

187. The regression tests in which separated bacteria were injected in the bottom of pectoral fin were all presented with symptoms similar to the natural incidence.

188. By means of forward selection with stepwise regression, 4 outstanding factors were selected from 36 climatic factors and an equation was elucidated.

189. The method of the conical thread image detection based on the support vector regression is presented.

190. This paper uses cross section regression method to study the relationship between real stock right proportion and company performance.

191. A robust method based on linear regression for speech signal time delay estimation is presented and it is proved better performance than GCC method through experiment in the reverberant rooms.

192. The linear correlation regression equation of fetal weight, CR length and fertilization age were set up.

193. Using the simulated radar signals, we analyze the ground clutter suppression performance of regression filter.

194. The polynomial regression based on the constant-pressure filtration rate equation has been presented to handle the experimental data and compared with the methods in literature through an example.

195. Total ozone during the period of Antarctic ozone hole of 1993 at Zhongzhan station in Antarctica is extracted from TOVS data of NOAA-12 by using an improved statistical regression scheme.

196. Multiple linear regression, binominal regression and neural network methods were applied in the analyses.

197. On the basis of our mathematic models of the titration, the content and conditional dissociation constant may be determined by using nonlinear regression.

198. And from the result of multivariable regression analysis, we can see that importance of circumambient environment, convenient environment and human environment falls in turn.

199. A method in which a data base and regression will be employed has been studied for predicting weld bead shape and selecting optimum welding parameters in arc welding processes.

200. Pattern recognition of thermophilic and mesophilic proteins were studied through principle component analysis,[http:///regression.html] partial least-square regression and BP neural network.

201. The function between the modify modulus and the specific speed can be found by regression analysis. And the result of the modification can be validated.

202. We can use simple regression to work out the relationship between size of population and revenue.

203. Based on the absorbance data of a group, standard solution, working equation of component was established by linear regression.

204. The means to find out M - in a singular matrix and the occasions suitable to the regression were suggested.

205. It can decrease the concentration of HDL-C thus plays an auxo-action for regression of atherosclerosis.

206. While non-threaded applications that use a smaller subset of common libraries have a better chance of maintaining binary compatibility between SLES releases, do regression testing to ensure quality.

207. With the method of linear regression, the paper discusses the factors associated with fitter's operation skill.

208. Sigmund Freud dismissed religious mysticism as "infantile helplessness" and "regression to primary narcissism."

209. Its adverse effects on user's depression symptoms still couldn't be observed by multiple regression analysis.

210. Many of the core concepts from simple linear regression, for example, establish a good foundation for understanding Multiple Regression, Factor Analysis, Time Series, and so on.

211. This time the results are wonderful and it gets the most appropriate regression models moreover the multicollinearity does not exist any more.

212. If you are going to bet on a reusable software asset and advertise it to the world you need to have a suite of regression tests for it.

213. Methods Plot a regression curve with the potency of hepatitis B vaccine as a model against time. Predict the validity period of vaccine by the 95% confidence interval of its relative potency.

214. In 353 women referred for colposcopy because of abnormal cervical smears, HR-HPV clearance preceded regression of cervical lesions by an average of three months.

215. Compared to traditional regression method- interval integral and artificial neural network, it has better generalization ability.

216. Specific topics included are functions of random variables, regression and correlation analyses, the Bayesian approach, and elements of quality assurance and acceptance sampling.

217. Multiple Regression with Transformations of the dependent variables ( not in Lite Version ).

218. Based on regression analysis and grey relationship analysis, the function models between environmental value and SFD of the three trees were established.

219. Using by the method of Difference Analyze and the theory of Regression Analyze, the analyzed the spatial characteristic of vegetation change in arid land.

220. Be in China, this is a of arousal and regression, on understanding order out of chaos.

221. There has been four kinds of main early warning models of exchange crisis at present, namely "signal" approach, probit model, cross-county regression model and subjective probability method.

222. This paper gives a new kernel estimate, bandwidth parameter and the bias-corrected confidence belt for nonparametric regression curve.

223. It was found that the SVM for regression improved the detectability of the attacks and lowered the false alarm rates compared with AR model.

224. Line faults" indicates the number of scanning lines after the regression which have not been found."

225. Both symptoms were due to thyrotoxicosis ,() thus treatment with anti-thyroid medication led to regression of gynecomastia and hypokalemic paralysis as well as remission of thyrotoxic symptoms.

226. Second-degree polynomials equation of maize(Zea Mays L. ) grain yield with both planting density and nitrogen fertilization was established by means of regression analysis.

227. By means of progressive regression method, a mathematical model of the air hammer was developed.

228. Main conclusion as follows:(1)from the standpoint of their short-term relation. the coefficient of regression of lag 1 and 2 indicates that FDI makes positive effect on market concentration.

229. A method for the determination of composition of ternary coordination compound by mixture models regression design was proposed.

230. The interrelation between all kinds of cohesiveness target of bituminous coal and regression equation are introduced.

231. Iterative regression testing was executed each iteration by running the previous iterationa ?s version of the system test application on the current build for the current iteration.

232. The concept of discrete regression, the method called repeated information distribution and its application in the epicentral intensity recognition are presented in this paper.

233. Method: This article developed a approach with nonlinear regression and polarography.

234. Regression analyses of the relations between strength and hardness of chrome-nickel steel are carried out, the relevant formulas of the regression relations are set up.

235. Although larvicide has been distributed in 94 districts since 2002, logistic regression analysis showed no association between the intervention and dengue incidence.

236. Based on the slope value of log-probit regression line, the resistance of Txinnabarinus to abamectin could continue develop to a higher level, but the developmental rate would be slow.

237. I also demonstrated how to develop and implement the heart of a simple linear regression algorithm using PHP as the implementation language.

238. The polynomial regression showed that the change range of pigment gland density was more wide in hybrid population, our aim was to look for good plant by selecting hybrid.

239. Then study the corporate governance of China's private listed performance, using the SPSS multiple regression and quadratic regression curve of empirical methods.

240. Relationships between embryo weight and incubation time were exponential regression.

241. Risk factors were identified by univariate and multivariate logistic regression analyses.

242. The multi-element orthogonal polynomial regression is used for traditional optimization technique of parametric optimum design, and the experimental research is done by some experiential formula.

243. In linear regression, the least squares estimation is heavily innuenced with outlyers.

244. Artificial neural network is a kind of implicit expression without explicit expression as statistical regression model, and it is its disadvantage.

245. Examples in this paper show that the dummy variable can draw some quality markers which is impossible to be quantized into the linear regression model.

246. In this paper we shall discuss two topics: the empirical distribution function of censored data and the Linear regression with censored data.

247. Solutionmultiple linear regression equations, industrial control algorithm. Can be transplanted to MFC program.

248. The distribution of powder clusters of finely ground slag was measured by means of laser granulometer and was modeled through RRSB linear regression.

249. Results The effect of multicollinearity among variables were eliminated in the regression model and an ideal mathematical model was constructed.

250. Objective To research the relationship between the phospholipase activities and the random amplified polymorphic DNA(RAPD) bands of Candida albicans, and establish the regression model.

251. The article selected 7 and 8 important factors respectively in the dry bulk boat market and the dry bulk shipping market, and did regression analysis after linearized the selected data.

252. The two known approaches to detect the problem are deficient in accuracy and usability and not suitable for large regression testing based on software simulator.

253. A new correlation coefficient that indicates goodness of-fit for regression line will be introduced yet in this paper. The illustrative examples are presented.

254. Based on the data of gas consuming quantum in zinc refining process and some new forecasting technique, a combined forecasting model of index regression and grey theory was established.

255. Objective To choose the best regression curve equation in the quantitative analysis system of resistin and to establish the regression curve equation.

256. The relationship between precipitation and the canopy interception is a power regression.

257. The parameters in the model, obtained employing the sectionalized nonlinear regression method, appeared to be in good agreement with those published in the literature.

258. We avoid the interfere of different elements with the multiple linear regression Gamma - ray detector.

259. The regression formulae were obtained to determine elastic buckling coefficients of the forementioned rectangular plates.

260. The examples indicate that using regression model instead of process and device modelling is superior in process optimized design and device performance prediction.

261. The empirical study part contains assumptions, description of statistical analysis, parameter testing of single-factor analysis of variance, correlation and multiple linear regression analysis.

262. I can recall a case of palliation and regression of a spindle-cell tumour on the gingival margin of a Fox Terrier.

262. Wish you will love and make progress everyday!

263. The statistical inference includes ANOVA, Chi - square test, multiple regression, and logistic regression.

264. Regression analysis indicated that the total variance of depression influenced by self-flexibility, self-disharmony, self-accusation and recourse was 41.8%.