Rainfastness of Insecticide Deposits on Loblolly Pine Foliage and the Efficacy of Adjuvants in Preventing Washoff

1991 ◽  
Vol 26 (2) ◽  
pp. 287-298 ◽  
Author(s):  
John C. Nord ◽  
William D. Pepper
Keyword(s):  
Regression Analysis ◽  
Linear Relationship ◽  
Confidence Intervals ◽  
Loblolly Pine ◽  
Significant Relationship ◽  
Rainfall Amount ◽  
Regression Analyses ◽  
Significant Linear Relationship ◽  
Wettable Powder ◽  
Percent Mortality

The rainfastness of several insecticides on loblolly pine foliage was determined by using a laboratory rain chamber and by testing the foliage in bioassays with adult leaffooted pine seed bugs, Leptoglossus corculus (Say). The efficacy of eight commercial and two experimental adjuvants in preventing rainwashing of deposits of azinphosmethyl and phosmet from loblolly pine foliage was also determined. Deposits of azinphosmethyl from 0.2% (Al) simulated sprays made from emulsifiable concentrates (EC's), (Guthion 2S and 2L), were highly susceptible to rainwashing. Regression analysis of these data showed a significant linear relationship between arcsin percent mortality and rainfall amount in cm [y = 68.08 – 6.88/(Rainfall)]. Using the confidence intervals from the regression analysis, it was estimated that rainfall in excess of 1.42 cm would reduce mean seed bug mortality on treated foliage to an amount below 80% with 95% confidence, and likewise, rainfall in excess of 3.95 cm would reduce mean mortality to an amount below 50%. However, mortality of L. corculus on deposits of simulated azinphosmethyl 0.2% (Al) sprays made from the wettable powder (Guthion 50 WP) were virtually unaffected by 15 cm of rain. Spray deposits from permethrin (Pounce 3.2EC) at lower rates were moderately to highly resistant to rainwashing. Regression analyses perfomed on these data showed no significant relationship between mortality and rainfall amount. Most of the adjuvants were ineffective in preventing rainwashing of deposits of azinphosmethyl (EC) or phosmet (WP). Only two, Bio-Film and Exhalt 800, showed any promise.

Therapists' Expectancies and Patients' Improvement in Treatment: The Shape of the Link

1977 ◽  
Vol 40 (2) ◽  
pp. 443-453 ◽  
Author(s):  
Paul J. Martin ◽  
Marilynn L. Hunter ◽  
Kenneth E. Guhr ◽  
Nancey J. Acree
Keyword(s):  
Linear Relationship ◽  
Multiple Regression ◽  
Clinical Improvement ◽  
Empirical Support ◽  
Curvilinear Relationship ◽  
Regression Analyses ◽  
Significant Linear Relationship ◽  
Therapeutic Gain ◽  
The Relationship

It has been hypothesized that therapists' expectancies for therapeutic gain by their patients are linked to the actual clinical improvement shown by the patients during treatment. It has also been hypothesized that therapists' expectancies may help cause patients' improvement. The first hypothesis has received empirical support, but the second has not. The study reported here tested a causative interpretation of the link between therapists' expectancies and patients' improvement, and a second interpretation that therapists' expectancies predict but do not cause patients' improvement. Based on motivation research it was reasoned that a significant curvilinear relationship between therapists' expectancy and patients' improvement would support a causative interpretation; a significant linear relationship between these variables would support a predictive interpretation. Multiple regression analyses produced evidence of a significant linear relationship between measures of expectancy and improvement, but no curvilinear component to the relationship. The results are interpreted as supporting the predictive interpretation. Some limitations of the findings are discussed.

EFEKTIVITAS PEMBERIAN KOMPENSASI FINANSIAL PERUSAHAAN

2017 ◽  
Vol 2 (3) ◽  
pp. 341-346
Author(s):  
Vina Meliana
Keyword(s):  
Regression Analysis ◽  
Data Analysis ◽  
Linear Relationship ◽  
Employee Performance ◽  
Financial Compensation ◽  
Average Percentage ◽  
Simultaneous Test ◽  
Direct Compensation ◽  
A Company ◽  
Descriptive Method

Providing compensation to employees is important for every company, including PT INTI to retain qualified employees today and in the future. PT INTI is a company whose primary based as telecommunication contractor located in Bandung. This study was conducted to determine the effect between direct financial compensation variables and indirect financial compensation toward employee performance. This research uses the descriptive method and data analysis with the path and regression analysis. The result of this research is a descriptive condition of direct and indirect financial compensation in PT INTI in the reality of 2008 is not good based on continuum line where the average percentage is 30,21% where employee expectation to incentive and celebration of the holiday is large. In addition, the simultaneous test shows that there is no linear relationship between direct compensation and indirect compensation for employee performance at PT INTI. Keywords: compensation, employee performance, financial compensation

scholarly journals Attitudes towards the New Zealand Government’s Smokefree 2025 goal associated with smoking and vaping in university students aged 18 to 24 years: results of a 2018 national cross-sectional survey

BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e037362
Author(s):  
Ben Wamamili ◽  
Mark Wallace-Bell ◽  
Ann Richardson ◽  
Randolph C Grace ◽  
Pat Coope
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
New Zealand ◽  
University Students ◽  
Confidence Intervals ◽  
Logistic Regression Analysis ◽  
Smoking Prevalence ◽  
Cross Sectional Survey ◽  
Cross Sectional ◽  
Lower Odds

ObjectiveIn March 2011, New Zealand (NZ) launched an aspirational goal to reduce smoking prevalence to 5% or less by 2025 (Smokefree 2025 goal). Little is known about university students’ awareness of, support for and perceptions about this goal. We sought to narrow the knowledge gap.SettingUniversity students in NZ.MethodsWe analysed data from a 2018 cross-sectional survey of university students across NZ. Logistic regression analysis examined the associations between responses about the Smokefree goal with smoking and vaping, while controlling for age, sex and ethnicity. Confidence intervals (95% CI) were reported where appropriate.ParticipantsThe sample comprised 1476 students: 919 (62.3%) aged 18 to 20 and 557 (37.7%) aged 21 to 24 years; 569 (38.6%) male and 907 (61.4%) female; 117 (7.9%) Māori and 1359 (92.1%) non-Māori. Of these, 10.5% currently smoked (ie, smoked at least monthly) and 6.1% currently vaped (ie, used an e-cigarette or vaped at least once a month).ResultsOverall awareness of the Smokefree goal was 47.5% (95% CI: 44.9 to 50.1); support 96.9% (95% CI: 95.8 to 97.8); belief that it can be achieved 88.8% (95% CI: 86.8 to 90.7) and belief that e-cigarettes/vaping can help achieve it 88.1% (95% CI: 86.0 to 89.9).Dual users of tobacco cigarettes and e-cigarettes had greater odds of being aware of the Smokefree goal (OR=3.07, 95% CI: 1.19 to 7.92), current smokers had lower odds of supporting it (OR=0.13, 95% CI: 0.06 to 0.27) and of believing that it can be achieved (OR=0.15, 95% CI: 0.09 to 0.24) and current vapers had greater odds of believing that e-cigarettes/vaping can help to achieve it (OR=8.57, 95% CI: 1.18 to 62.52) compared with non-users.ConclusionsThe results suggest strong overall support for the Smokefree goal and belief that it can be achieved and that e-cigarettes/vaping can help achieve it. Smoking and vaping were associated with high awareness of the Smokefree goal, but lower support and optimism that it can be achieved.

THE EVALUATION OF SELF-MONITORING ATTRIBUTES

1991 ◽  
Vol 19 (3) ◽  
pp. 205-215 ◽  
Author(s):  
Arts Jiujias ◽  
Peter Horvath
Keyword(s):  
Regression Analysis ◽  
Multiple Regression Analysis ◽  
Multiple Regression ◽  
Regression Analyses ◽  
Self Monitoring

Eighty-six Canadian female undergraduates attributed self-monitoring traits to a target presented on videotape, and evaluated her in terms of liking. Attributed self-monitoring was negatively correlated with attraction to the target and was the only predictor of attraction in a multiple regression analysis. Multiple regression analyses with subscales of attributed self-monitoring as predictors suggested that the evaluations may be the result of the attributed unpredictability of the high self-monitoring prototype.

DECISION MAKING BY VARIABLE CONTRIBUTION IN DISCRIMINANT, LOGIT, AND REGRESSION ANALYSES

2004 ◽  
Vol 03 (02) ◽  
pp. 265-279 ◽  
Author(s):  
STAN LIPOVETSKY ◽  
MICHAEL CONKLIN
Keyword(s):  
Decision Making ◽  
Logistic Regression ◽  
Regression Analysis ◽  
Statistical Models ◽  
Regression Analyses ◽  
Discriminant Functions ◽  
Multivariate Statistical ◽  
Linear Discriminant ◽  
Variable Contribution ◽  
Linear Aggregate

Comparative contribution of predictors in multivariate statistical models is widely used for decision making on the importance of the variables for the aims of analysis and prediction. However, the analysis can be made difficult because of the predictors' multicollinearity that distorts estimates for coefficients in the linear aggregate. To solve the problem of the robust evaluation of the predictors' contribution, we apply the Shapley Value regression analysis that provides consistent results in the presence of multicollinearity both for regression and discriminant functions. We also show how the linear discriminant function can be constructed as a multiple regression, and how the logistic regression can be approximated by linear regression that helps to obtain the variables contribution in the linear aggregate.

Ratings gathered online vs. in person

2011 ◽  
Vol 6 (2) ◽  
pp. 325-350
Author(s):  
Lee H. Wurm ◽  
Annmarie Cano ◽  
Diana A. Barenboym
Keyword(s):  
Regression Analysis ◽  
Significant Relationship ◽  
Online Ratings

Barenboym, Wurm, and Cano (2010) recently showed that significant differences emerged for ratings gathered online and in person. They also showed that researchers could reach different statistical conclusions in a regression analysis, depending on whether the norms were gathered online or in person. In the current study that research was extended. Familiarity ratings gathered online were significantly higher than those gathered in the lab, for a set of 300 potential stimuli. The in-person ratings correlated significantly better with an existing database of familiarity values. It is also shown that under three different grouping methods, online and in-person familiarity ratings produce different sets of stimuli. Finally, it is demonstrated that in each case, different conclusions are reached about variables that have a significant relationship with familiarity. Simulations show that the effects are driven disproportionately by higher intra-item variability in the online ratings. Studies in which stimuli are grouped on the basis of ratings can be affected by the choice of rating methodology.

Identification and Validation of a Seven m6A-related lncRNAs Signature Predicting Prognosis of Ovarian Cancer

2021 ◽  
Author(s):  
Yan Li ◽  
Xiaoying Wang ◽  
Yue Han ◽  
Xun Li
Keyword(s):  
Ovarian Cancer ◽  
Regression Analysis ◽  
Correlation Analysis ◽  
Prognostic Value ◽  
Cox Regression ◽  
Risk Group ◽  
Pearson Correlation ◽  
Regression Analyses ◽  
Cox Regression Analysis ◽  
Pearson Correlation Analysis

Abstract Background: Long non-coding RNAs (lncRNAs) play an important role in angiogenesis, immune response, inflammatory response and tumor development and metastasis. m6 A (N6 - methyladenosine) is one of the most common RNA modifications in eukaryotes. The aim of our research was to investigate the potential prognostic value of m6A-related lncRNAs in ovarian cancer (OC).Methods: The data we need for our research was downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Pearson correlation analysis between 21 m6A regulators and lncRNAs was performed to identify m6A-related lncRNAs. Univariate Cox regression analysis was implemented to screen for lncRNAs with prognostic value. A least absolute shrinkage and selection operator (LASSO) Cox regression and multivariate Cox regression analyses was used to further reduct the lncRNAs with prognostic value and construct a m6A-related lncRNAs signature for predicting the prognosis of OC patients. Results: 275 m6A-related lncRNAs were obtained using pearson correlation analysis. 29 m6A-related lncRNAs with prognostic value was selected through univariate Cox regression analysis. Then, a seven m6A-related lncRNAs signature was identified by LASSO Cox regression. Each patient obtained a riskscore through multivariate Cox regression analyses and the patients were classified into high-and low-risk group using the median riskscore as a cutoff. Kaplan-Meier curve revealed that the patients in high-risk group have poor outcome. The receiver operating characteristic curve revealed that the predictive potential of the m6A-related lncRNAs signature for OC was powerful. The predictive potential of the m6A-related lncRNAs signature was successfully validated in the GSE9891, GSE26193 datasets and our clinical specimens. Multivariate analyses suggested that the m6A-related lncRNAs signature was an independent prognostic factor for OC patients. Moreover, a nomogram based on the expression level of the seven m6A-related lncRNAs was established to predict survival rate of patients with OC. Finally, a competing endogenous RNA (ceRNA) network associated with the seven m6A-related lncRNAs was constructed to understand the possible mechanisms of the m6A-related lncRNAs involed in the progression of OC.Conclusions: In conclusion, our research revealed that the m6A-related lncRNAs may affect the prognosis of OC patients and identified a seven m6A-related lncRNAs signature to predict the prognosis of OC patients.

The alternative negative constructions in spoken and written Korean: Logistic regression analysis

2019 ◽  
Vol 15 (2) ◽  
pp. 419-442
Author(s):  
Beom-mo Kang
Keyword(s):  
Logistic Regression ◽  
Regression Analysis ◽  
Logistic Regression Analysis ◽  
Mixed Effects ◽  
Written Language ◽  
Regression Analyses ◽  
Relevant Factor ◽  
Factors Influencing ◽  
Frequency Of Use ◽  
Relevant Factors

AbstractAdopting quantitative corpus-based methods, this paper focuses on the alternative negative constructions in Korean, [anV] and [Vanhda]. Logistic regression analyses for a mixed-effects model were carried out on data drawn from the Sejong Korean Corpus. Certain features of the verb or adjective in negative constructions significantly affect the use of the two negative constructions. A relevant factor is register/medium (spoken or written), among other significant interactions of factors. Furthermore, the fact that frequency is consistent with other relevant factors, together with certain diachronic facts of Korean, supports the claim that frequency of use plays an important role in linguistic changes. Another finding is that, notwithstanding noticeable differences between spoken and written language, the factors influencing the use of the two negative constructions in Korean are largely similar in the spoken and written registers.

scholarly journals The Effect of Internal Communication on Employees’ Commitment to Change in Malaysian Large Companies

2017 ◽  
Vol 8 (1) ◽  
pp. 1 ◽  
Author(s):  
Leonis Marchalina ◽  
Hartini Ahmad
Keyword(s):  
Decision Making ◽  
Regression Analysis ◽  
Significant Relationship ◽  
Multivariate Regression ◽  
Multivariate Regression Analysis ◽  
Internal Communication ◽  
Commitment To Change ◽  
Theoretical Contribution ◽  
Structured Questionnaire

Employees’ commitment seems to be vital in decision making for any organizations in order to be able in business competition and to adapt with changes. The commitment among employees can be a crucial tool for improving their performance in organizations. Communication is needed to raise awareness among employees on the need of change as well as creating the readiness to the change whereby it leads to the commitment to change. The objective of this paper is to examine the influence of internal communication on employees’ commitment to change. Apparently, this issue likely has attracted the attention among either scholars or researchers. The theoretical contribution has been added in this study by investigating the effect of internal communication in influencing employees’ commitment to change. A survey of structured questionnaire was conducted in five-hundred fifty employees in Malaysian large companies. The significant relationship has been found between internal communication and employees’ commitment to change through multivariate regression analysis. Moreover, the implications to practice and theory are discussed.

LA MESURE DE L’INTERFÉRENCE DU CHIENDENT DANS L’ORGE

1982 ◽  
Vol 62 (1) ◽  
pp. 183-188 ◽  
Author(s):  
R. RIOUX
Keyword(s):  
Regression Analysis ◽  
Hordeum Vulgare ◽  
Linear Relationship ◽  
Linear Relation ◽  
Shoot Density ◽  
Yield Variability ◽  
Hordeum Vulgare L ◽  
The Mean ◽  
The Relationship ◽  
Agropyron Repens

Barley (Hordeum vulgare L. ’Champlain’) was grown with quackgrass (Agropyron repens (L.) Beauv.) at various densities for 3 yr. According to the regression analysis, a linear relation is appropriate to describe the relationship between yield of barley and biomass or density of quackgrass. A greater proportion of yield variability was explained by density (64%) than by biomass (40%). Density is then a better criterion than biomass to predict yield lost in barley. The linear relationship between barley yield and the shoot density of quackgrass is estimated by the following equation: yield barley = 345.3–0.5682 dens, quackgrass. An increase of 10 shoots/m2 in the mean density of quackgrass resulted in a mean loss of 6 g/m2 in the yield of barley.

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