On the estimation of annual and monthly mean values of air temperature over Greece using stepwise multiple regression analysis

1983 ◽  
Vol 32 (2-3) ◽  
pp. 287-295 ◽  
Author(s):  
A. A. Flocas ◽  
B. D. Giles ◽  
V. E. Angouridakis
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Air Temperature ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Mean Values

scholarly journals Cardiac Affection in Type 1 Diabetic Patients in Relation to Omentin

2015 ◽  
Vol 3 (4) ◽  
pp. 699-704 ◽  
Author(s):  
Soha M. Abd El Dayem ◽  
Ahmed A. Battah ◽  
Amal El Shehaby
Keyword(s):  
Type 1 Diabetes ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Stepwise Multiple Regression ◽  
Cardiac Autonomic Neuropathy ◽  
Control Group ◽  
Diabetic Patients ◽  
Stepwise Multiple Regression Analysis

AIM: To evaluate cardiac affection in type 1 diabetes in relation to Omentin.PATIENTS AND METHODS: Sixty two diabetics and 30 volunteer of the same age and sex were included as a control group. Blood sample was taken for assessment of omentin and oxidized low density lipoprotein (OxLDL), glycosylated hemoglobin (HbA1) and lipid profile. Urine sample was taken for assessment of albumin/ creatinine ratio. 24 hour holter was also done. T-test, simple correlation followed by stepwise multiple regression analysis was used for analysis of data.RESULTS: Parameters of 24 hour holter were significantly lower in diabetics. Omentin was significantly lower, while OxLDL were significantly higher than controls. RMSSD, ST deviation and OxLDL were the parameters related to omentin by stepwise multiple regression analysis in diabetics.CONCLUSION: Diabetic patients had a cardiac autonomic neuropathy. A significant reduction of omentin and elevation OxLDL imply that they influence glucose metabolism in type 1 diabetes. Omentin had a significant relation to 24 hr holter which may reflect its role in cardiac affection. Omentin and OxLDL had a role in renal affection.

20 FACTORS THAT AFFECT PURITY AND YIELD OF BOVINE SEX-SORTED SPERM

2011 ◽  
Vol 23 (1) ◽  
pp. 116
Author(s):  
Y. Sakamoto ◽  
M. Ueda ◽  
S. Toda ◽  
H. Kimura
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Event Rate ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Drive Frequency ◽  
Frequency Drop ◽  
Degree Of Separation ◽  
Holstein Bulls

The purposes of these studies were to examine the influence on the yield of sex-sorted sperm by the different size of sorting gate and to evaluate factors that affect the purity of sex-sorted sperm. As the sorting gate was expanded, so the yield of bovine sex-sorted sperm using flow cytometry was increased. At the same time, the purity of sex-sorted sperm became low. In addition, though the sorting gates were the same size, the purity of sex-sorted sperm differed among trials. These observations indicated the existence of factors that affect purity besides the size of sorting gate. To examine the yield of sex-sorted sperm, X-bearing sex-sorted sperm from 4 Holstein bulls were produced repeatedly 34 times by 3 flow cytometers. The sizes of sorting gates were fixed at 40–42%, 44%, and 46%. Each yield of sorting gate at 40–42%, at 44% and at 46% was compared. To evaluate factors that affect purity, X- or Y-bearing sex-sorted sperm were produced by one flow cytometer. These trials were repeated 160 times for the sorting of X-bearing sperm and 45 times for the sorting of Y-bearing sperm. Stepwise multiple regression analysis was used to analyse the relationships between the purity of sex-sorted sperm and the following sorting conditions, the percentage of oriented sperm, the percentage of dead sperm, degree of separation between X-bearing and Y-bearing sperm, the size of sorting gate, event rate, drop drive frequency, drop delay value and drop delay accuracy. The highest yield was acquired by sorting gate at 44%. The number of sex-sorted sperm was increased as sorting gate was expanded, however, the purity became low. The purities of the sperm by some trials using sorting gate at 46% were less than our acceptable lowest purity that was 90%. So that those sperm must be discarded. Therefore the yield of sorting gate at 44% was greater than sorting gate at 46%. Stepwise multiple regression analysis revealed that the factors for increasing purity of X-bearing sex-sorted sperm were the percentage of oriented sperm (P < 0.001), the degree of separation between X-bearing sperm and Y-bearing sperm (P < 0.001), the drop delay accuracy (P < 0.001), the event rate and the drop drive frequency, and the factor for decreasing purity of X-bearing sex-sorted sperm was the size of sorting gate (P < 0.001). On the other hand, the factors for increasing purity of Y-bearing sex-sorted sperm were the percentage of oriented sperm (P < 0.01), the degree of separation between X-bearing sperm and Y-bearing sperm (P < 0.01) and the event rate (P < 0.05), and the factor for decreasing purity of Y-bearing sex-sorted sperm was the size of sorting gate (P < 0.01). From these results, it can be concluded that the purity of sex-sorted sperm was not depend on simply by size of sorting gate but was more completely explained by other sorting conditions.

Influence of Obesity on Plasma Fructosamine Concentration

1992 ◽  
Vol 38 (11) ◽  
pp. 2190-2192 ◽  
Author(s):  
J Woo ◽  
C Cockram ◽  
E Lau ◽  
A Chan ◽  
R Swaminathan
Keyword(s):  
Body Mass Index ◽  
Regression Analysis ◽  
Glycemic Control ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Body Mass ◽  
Total Protein ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Chinese Community

Abstract The influence of obesity on plasma fructosamine concentration was studied in 68 diabetic and 1335 nondiabetic subjects from a Chinese community. Obese nondiabetic men (body mass index &gt; 25 kg/m2) had lower fructosamine concentrations than nonobese nondiabetic men (body mass index &lt; or = 25 kg/m2); the pattern was similar for diabetic women. Stepwise multiple-regression analysis showed that, apart from known factors (total protein, albumin, and indices of glycemic control), fructosamine was also associated with body mass index and plasma fasting triglycerides. However, the contribution of these were small except in diabetic women. We conclude that the effect of obesity on fructosamine is small.

A Stepwise Multiple Regression Analysis of Pedicle Screws in the Thoracolumbar Spine

2014 ◽  
Vol 14 (11) ◽  
pp. S157
Author(s):  
William F. Lavelle ◽  
Kevin Albanese ◽  
Nathaniel R. Ordway ◽  
Stephen A. Albanese
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Thoracolumbar Spine ◽  
Pedicle Screws ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis

Group Factors and its Relationship with Job and Life Satisfaction in Diverse Organizations

2011 ◽  
Vol 36 (4) ◽  
pp. 335-352 ◽  
Author(s):  
S. Riasudeen ◽  
P. T. Srinivasan
Keyword(s):  
Job Satisfaction ◽  
Life Satisfaction ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Global Operations ◽  
Selection Of ◽  
Structured Questionnaire

This research focuses upon understanding whether the group factors will serve as predictors and explain the variance in individual's job and life satisfaction. A purposive sampling was adopted for the selection of 475 employees from the four different firms having global operations. A structured questionnaire was distributed amongst respondents and data were analyzed with hierarchical stepwise multiple regression analysis in order to assess the extent of variance in job satisfaction and life satisfaction. The results of the analysis indicate that the dimensions of group factors emerged as significant predictors of job satisfaction and life satisfaction in the diverse organizations.

Two Rating Indicators of Excellence in Teaching in Lecture-Format Courses

1985 ◽  
Vol 56 (1) ◽  
pp. 52-54 ◽  
Author(s):  
Gerald M. Meredith
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Two Dimensional ◽  
Dimensional Model ◽  
Teaching Excellence ◽  
Two Dimensional Model ◽  
Lecture Format

Stepwise multiple regression analysis was used to predict two criterion measures of teaching excellence. Findings partially support Lowman's two-dimensional model of “masterful teaching.”

scholarly journals The ‘Reading the mind in the Eyes' test and emotional intelligence

2020 ◽  
Vol 7 (9) ◽  
pp. 201305
Author(s):  
Alberto Megías-Robles ◽  
María José Gutiérrez-Cobo ◽  
Rosario Cabello ◽  
Raquel Gómez-Leal ◽  
Simon Baron-Cohen ◽  
...  
Keyword(s):  
Emotional Intelligence ◽  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Measure Theory ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Best Fitting ◽  
The One ◽  
The Mind

The ‘Reading the Mind in the Eyes' test (Eyes Test) has been widely used to measure theory of mind (ToM) or the ability to recognize the thoughts and feelings of others. Although previous studies have analysed its relationship with the ability to perceive emotions, the potential links with more complex emotional abilities remain unclear. The aim of the present research was to analyse the relationship between the Eyes Test and each of the emotional intelligence (EI) branches: perceiving, facilitating, understanding and managing emotions. In addition, we were interested in studying these relationships as a function of the Eyes Test difficulty. Eight hundred and seventy-four participants completed the Eyes Test and the Mayer–Salovey–Caruso Emotional Intelligence Test. A stepwise multiple regression analysis for the total score on the Eyes Test revealed that the best fitting model included the understanding, perceiving and managing emotion branches, with the understanding branch being the one most strongly associated with performance on the Eyes Test. Interestingly, stepwise multiple regression analysis for the easiest items of the Eyes Test revealed the same predictors, but, in the case of the most difficult items only the understanding branch was a predictor. These outcomes were not moderated by the influence of gender. Our findings support the notion that the Eyes Test can be used as a ToM task and that it is associated with complex EI abilities. Limitations and future lines of investigation are discussed.

An Analysis of Correlates of Perceived Positive and Negative Prayer Outcomes

1981 ◽  
Vol 9 (4) ◽  
pp. 352-358 ◽  
Author(s):  
Grant Henning
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Personal Characteristics ◽  
Positive Outcome ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Binary Outcome ◽  
Independent Variables ◽  
Will Of God

Ninety-nine prayer instances voluntarily recalled by 10 religious persons were examined for the relation between perceived binary outcome (i.e., answered, un-answered) and thirteen independent prayer variables. Independent variables included size of prayer group, vowing, claiming biblical promises, fasting, thanksgiving, agonizing, authoritativeness, repetition, self-other benefit, perceived will of God, urgency, acting on outcome, and seeking cleansing. Nine of these variables showed significant relatedness to positive outcome and were rank-ordered for contribution to positive outcome. Personal characteristics of sex and nationality of the person praying were examined for correlation with reported prayer behaviors. Finally, the thirteen independent variables were regressed on binary outcome by means of stepwise multiple regression analysis to ascertain cumulative contributions to variance in prayer outcome. Acting on outcome and thanksgiving were found to contribute most to outcome variance.

Identification of molecular markers associated with mite resistance in coconut (Cocos nucifera L.)

Genome ◽  
2007 ◽  
Vol 50 (1) ◽  
pp. 35-42 ◽  
Author(s):  
K.V. Shalini ◽  
S. Manjunatha ◽  
P. Lebrun ◽  
A. Berger ◽  
L. Baudouin ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Early Stage ◽  
Cocos Nucifera ◽  
Control Measures ◽  
Stepwise Multiple Regression ◽  
Stepwise Multiple Regression Analysis ◽  
Single Marker Analysis ◽  
Breeding Programs

Coconut mite ( Aceria guerreronis ‘Keifer’) has become a major threat to Indian coconut ( Coçcos nucifera L.) cultivators and the processing industry. Chemical and biological control measures have proved to be costly, ineffective, and ecologically undesirable. Planting mite-resistant coconut cultivars is the most effective method of preventing yield loss and should form a major component of any integrated pest management stratagem. Coconut genotypes, and mite-resistant and -susceptible accessions were collected from different parts of South India. Thirty-two simple sequence repeat (SSR) and 7 RAPD primers were used for molecular analyses. In single-marker analysis, 9 SSR and 4 RAPD markers associated with mite resistance were identified. In stepwise multiple regression analysis of SSRs, a combination of 6 markers showed 100% association with mite infestation. Stepwise multiple regression analysis for RAPD data revealed that a combination of 3 markers accounted for 83.86% of mite resistance in the selected materials. Combined stepwise multiple regression analysis of RAPD and SSR data showed that a combination of 5 markers explained 100% of the association with mite resistance in coconut. Markers associated with mite resistance are important in coconut breeding programs and will facilitate the selection of mite-resistant plants at an early stage as well as mother plants for breeding programs.

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