1. Multiple stepwise regression analysis was also applied.

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

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

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

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

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

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

8. IMTmean, IMTmax and the Crouse scorehad regression analysis.

9. This survival difference persisted after multiple logistic regression analysis.

10. Multivariate regression analysis is a powerful predicted method.

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

12. Path analysis is the standardized linear regression analysis.

13. After adding the type of bank in regression analysis, the author raised: whether small local banks could achieve the expected yield level is questioned.

14. Step-wise regression analysis indicated that test anxiety was affected by negative cognition, trait anxiety, pressure from school and society, neuroticism and pressure from parents.

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

16. By regression analysis, GM(1,1)model and other methods to determine the household income line of housing security, protection ratio and predict the demand(2009-2013) of affordable housing.

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

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

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

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

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

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

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

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

25. The method is different from the usual stepwise analysis , and the all - equation approach multiple regression analysis.

26. Secondly, the unknown parameters of a quadratic polynomial are defined by regression analysis and a reasonable approximation of the physical limit state function is obtained.

27. There are many complicated factors influencing the quantity of cultivated land, so a simple regression analysis can not achieve a satisfactory model.

28. Most often the Genco has an in-house price forecast tool based on available forecasting methods such as the conventional linear regression analysis technique, to cater to the need of a price forecast.

29. Finally the paper established the mathematical model of each cutting force though the regression analysis, which is advantageous in instructing the actual production and making the actual parameter.

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

31. Anxiety is correlated with coping styles. And multiple regression analysis shows that withdrawing can significantly predict hearing-impaired students' anxiety.

32. The sequential regression analysis was adopted to screen off the secondary factors, and the Kalman filtering technique was used to estimate innovation coefficients of the model dynamically.

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

34. Based on historical data , regression analysis method is used in population and economic development forecast process.

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

36. Results of the quadratic polynomial regression analysis show that the developing tendency of texture parameters is parallel with one of precipitation.

37. Regression analysis[Sentence dictionary], grey-system and exponential smoothing method are in common use as forecasting methods of maritime accidents nowadays.

38. Methods The measured body parameters and polysomnography(PSG)parameters of 155 patients with OSAHS entered into multiple linear regression analysis to correlate with apnea hyponea index (AHI).

39. Conclusion: It is easy to understand the analysis of covariance and analysis of variance can also be considered in regression analysis setting by defining appropriate dummy variables.

40. The total quota of water use in different level of water saving was put forward based on regression analysis, probability estimation analysis, advanced quadratic mean method and geometric mean method.

41. With the economic data form 1979 to 2004, analyzes the effect of savings on investment by regression analysis, the Granger causality test and the residual decomposability.

42. A method in which observations and regression analysis are divided into groups, is presented of studying the variances of the star images tremble versus the different zenith distance.

43. Using randomized block experiment design and variance analysis, multiple comparisons and regression analysis methods; the effects of the container-growing seedling were systematically analyzed.

44. The paper presents the method of calculation of distribution loss using neural network MLQP. The precision of this method is much higher than of normal regression analysis method.

45. Correlation and regression analysis showed that the methods of percutaneous oxygen monitoring and microcirculation microscopy are better in reflecting the clinical effect.

46. Correlation and regression analysis indicate that certain gender differences of the relationships between the behaviours and TEM4 scores exist.

47. Cox regression analysis showed STAT 5 was an independent prognostic factor.

48. This traffic demand forecast model is established based on regression analysis, time value model and gravity distribution theory.

49. 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.

50. Multielement regression analysis (MRA) is often applied to the statistics of safety management. The facus is upon several basic formulas, calculating method and procedure of MRA.

51. The results of correlation and regression analysis indicated the perception of organizational politics had significant positive effect on promoting justice.

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

53. Association between variables was examined by multiple logistic regression analysis and odds ratios.

54. Regression analysis shows that the enervation mentality of male university students had effects on their life desire.

55. By citing information value method and regression analysis of o or 1 two-state variable, two prediction models were built.

56. The paper introduced modern enterprise costing theory, the cost forecast and the policy-making theory and the method of regression analysis in the cost forecast and the policy-making.

57. Polynomial regression analysis indicated that the reaction of fertile pollen rates to tetcyclacis concentrations and dates showed a quadratic relationship.

58. The forecast accuracy can be improved greatly by synthesizing and renovating the original methods of time-series analysis and regression analysis.

59. Stepwise multiple regression analysis suggested that the major factors related to compliance were as following: BPRS(ACTV), duration of hospitalization, family members' age, premorbid character.

60. The regression analysis tool in Excel software is applied only to the fitting of linear equation.

61. 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.

62. The priming effects of Chinese and Arabic numerals were investigated in this research with the response window and the regression analysis model.

63. Conclusions: The multiple regression analysis may predict unknown variable from known variables in morphological application.

64. The regression analysis method of non stochastic process and movable control over the target area was used to assess seeding effect. The target area was determinated by diffusion equation.

65. We analyze the data using nonparametric tests and regression analysis.

66. And by establishing regression analysis model based on mathematics statistics[/regression analysis.html], the distributing and impact of traffic noise pollution is predicted.

67. NLREG is a powerful statistical analysis program that performs linear and nonlinear regression analysis, surface and curve fitting.

68. In data analysis, some traditional statistical methods, such as exploring factor analysis, one-way analysis of variance, correlation analysis, regression analysis were used.

69. The data was analyzed by chi - square, stepwise regression analysis and covariance statistics.

70. Some explosive is examined by X-ray when X tube current and height of explosive columniation are fixed, and penetration rates are fitted by regression analysis method.

71. By a multiple regression analysis, neo-rectal compliance was associated with favorable clinical function, and hypermotility of the canal was associated with adverse clinical function.

72. 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.

73. 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.

74. 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...

75. As one of the main estimation methods, fuzzy least squares approach is appealing because it corresponds, to some extend, to the well known statistical regression analysis.

76. The example shows that it is feasible that the theories of grey correlation and regression analysis is used for social power consumption.

77. With Ramsey model and the method of regression analysis, the author analyses the relationship between consumer's risk expectation and the inflation rate.

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

79. Deduce the air permeability calculating formula base on the regression analysis method. Provide a strong basis for the selection of PET, aluminum PET and PVDC film in food packaging.

80. Results: Five independent variables had been put into regression equation by multiple regression analysis, which were ADL score, stroke attack time, marriage, carer and SDS score.

81. The regression equations of expiratory and inspiratory resistances were built with multiple stepwise regression analysis on the IBM PC/XT computer with age, height and FVC as independent variables.

82. On this basis, forecasting models which are suitable for the national maritime accidents are expounded particularly, for example, regression analysis, grey-system and exponential smoothing method.

83. 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.

84. At the same time, by the gene, correlation and regression analysis, we have the key index of our study.

85. 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.

86. Several model building methods for the soft sensor are described, including regression analysis and neural networks.

87. The t-test and stepwise regression analysis were performed in both groups to determine the correlated factors of gummy smile deformity.

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

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

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

91. Biased estimate methods are basic methods of modern regression analysis.

92. Multiple regression analysis showed that neonatal mortality rate had only statistical relationship with the factors of prenatal care of postpartum visit of sterilized delivery.

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

94. At last, we make empirical research by the marketing survey, regression analysis, association analysis on the cognitive model above.

95. According to the degraded image and the ideal subimage, a filter is designed by using multiple regression analysis and then applied to restore the whole image.

96. Correlation and regression analysis showed that the main influencing factors on depression of unemployed were self-accusation,[http:///regression analysis.html] solving problem and the total scores of life events.

97. Objective:this research is to deal with the masking effect when multiple outliers occur during the traditional diagnostic regression analysis.

98. The influences of time to rescue, fasciotomy, and radical debridement on lower leg muscle strength were evaluated by stepwise regression analysis.

99. Data were analysed ins ingle factor and multiple regression analysis with SPSS.

100. Stepwise regression analysis was used to build mathematical model of radial keratotomy(RK), for analyzing factors influencing on the result, and predicting the RK result.

101. This paper studies the response of A-share market to the announcement on the special treatment of stock dealing, using the method of excess earnings and multiple regression analysis.

102. ANOVA, regression analysis, as well as the Monte Carlo simulation tool are applied to a carefully selected small project with desirable results.

103. Results: By using dummy variable, we can broaden the application of regression analysis.

104. The paper presents setting up gas logger operational curve model by applying mathematics regression analysis method.

105. First presented is a method of regression analysis combined with random time series technique for analysis of monitoring data of dams.

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

107. We applied generalized linear regression analysis to control possible confounding factors related to explore the impact of numerical indicator variable factors.

108. This series has studied two applications of simple linear regression analysis.

109. Regression analysis is one of the common methods for marketing analysis and forecasting.

110. The multiple regression analysis model is established through measuring the enterprise performance by the order lead time.

111. The linear regression equation on the relationship between peroxide content in acrylonitrile and PAN fiber yellowness was obtained by regression analysis.

112. The regression analysis showed that the rate constant was greatly related to the initial concentration of cellulous, and the exponential function was the fittest model.

113. Multiple regression analysis showed that the score of SDS was correlated with the self-efficacy, help seeking, self-accusation, economic status and frequency of seizure.

114. This information is used to do multidimensional regression analysis, and an equation is gained, then the model is used for marginal and input-output analysis.

115. The results tested by C WISC and their learning achievement were analyzed by correlation and regression analysis respectively.

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

117. Results To simplify GLM into several particular statistical models which are suitable for regression analysis, analysis of variance and covar...

118. As the artificial neural network and stepwise regression analysis are respectively applied to the data of crude wax deposition experiment, the model of wax deposition velocity was established.

119. 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.

120. Regression analysis is then used to estimate the response surface model to approximate the functional relationship between response features and design parameters on the entire design space.

121. Regression analysis includes linear, polynomial and exponential curve fitting, plotting, and interpolation.

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

123. Conditions were controlled in order to make the clone of the gametocyte grow normally, equation between the wet weight and the time was concluded by the method of regression analysis.

124. The optimum conditions of solid alcohol are studied using homogenous design and square regression analysis.

125. This paper studies the response of A-share market to the announcement on the related-party transactions, with the method of excess earnings and multiple regression analysis.

126. Spline optimization regression analysis methods were applied to get the data of egg laying rate of French ISA layer in Hangzhou Layer Experiment Farm.

126. try its best to collect and make good sentences.

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

128. A stepwise multiple linear regression analysis showed that HDL - C, FPG, WC , BF % enter the regression equation.

129. By making use of principle of least square solution and regression analysis, mathematical model of temperature of decomposing furnace is created.

130. Only age, BMI and leptin correlated to BMD by multiple regression analysis.

131. Correlation and regression analysis showed that parental rearing pattern obviously affected self consistency and congruence.

132. At the same time, the cost class purchase budget value is modified using using the regression analysis model, and the purchase budget is more realistic purchase value.

133. The three-dimension curved surface and the corresponding two-order polynomial equation were obtained through the simulation and regression analysis of numerical results by MATLAB and SPSS software.

134. 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.

135. By correlation and regression analysis, all three hypotheses proposed by this study are supported.

136. Based on the sample data of ship plate, and by applying mathematical statistics and multivariate regression analysis, a regression model of deformation parameter is established.

137. The regression analysis showed that there was significantly positive correlation between probit and logarithm of concentrations.

138. The formula for computing frost depth and frozen - heave factor is puted forword through statistical regression analysis.

139. By regression analysis, we identify the main factors and further infer the main reasons for problems in announcement system of government audit findings.

140. The results of correlation and regression analysis are drawn on the heliographic chart as isolines of geomagnetic disturbance.

141. Hypotheses testing and general data analysis are accomplished with regression analysis.

142. Multivariant linear stepwise regression analysis show that the pulse pressure, the systolic pressure , overdose compliance are important influencing factors of IMT.

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

144. The relations between blood pressure and different anthropometric variables in both genders were investigated in partial correlation analysis and stepwise multiple regression analysis.

145. According to the results, an empirical relationship of the rill wetted perimeter with the flow discharge and the slope gradient is obtained by the regression analysis.

146. Though multiple regression analysis, it was showed that the correlation between sap velocity and Meteorological Factors was highly significant and its coefficient of correlation was more than 0.795.

147. The regression analysis results show that the existing pattern of trade for their economic growth has a promoting effect.

148. 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.

149. It narrates the process of multiple regression analysis, with the relationship analysis of ages, distance and visitors amount as example.

150. As with all forecasting techniques, the results from regression analysis will not be wholly reliable.

151. Use factor analysis to build a rating system to evaluate the model. Use regression analysis to test the score model.

152. Through multiple regression analysis the results suggested that hypomagnesemia may be one of the risk factors to induce heart complications in diabetes mellitus.

153. Specific analytical methods have linear regression analysis method and logic dichotomy.

154. Logistic regression analysis was applied to identify variables independently associated with more advanced fibrosis.

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

156. Regression analysis shows that growth of Cryptomeria, but not of China fir, can be predicted by the latitude and longitude of the provenance.

157. And based on this, a simple method for performance prediction by using linear regression analysis is put forward.

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