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This study aims to determine the students' mathematical critical thinking abilities in terms of their mathematical resilience. The subjects of this study were students of Informatics and Computer Engineering Education STKIP Al Maksum in discrete mathematics courses, totaling 37 students. The research instrument used in the form of mathematical critical thinking ability test questions and student mathematical resilience questionnaires. The research method used is a correlational method with a quantitative approach. Then the data were analyzed using simple linear regression. The results showed that the mathematical critical thinking ability based on the mathematical resilience of the students of the Computer Informatics Engineering Education Study Program, STKIP Al Maksum, had a positive effect of 79.9%.

The uncertainty in trend estimates caused by temporal scale effect has rarely been studied. In response to this challenge, this study aims to explore temporal scale effects on trend detection based on in situ measurements throughout China given that they provide full temporal details of surface elements. Three common temporal scales (daily, monthly, and yearly) were used to present findings. Two different trend detection methods (i.e., simple linear regression and breaks for additive seasonal and trend) were employed to check the dependence of temporal scale effects on methods. It was found that temporal scale effects were dependent on the type of elements, the time span of datasets, and trend detection methods. They are more significant for elements with fast changes (e.g., snow depth) compared to those with gradual changes (e.g., albedo, air temperature). And temporal scale effects from daily to monthly scale are generally larger than those from monthly to yearly scale. The former is almost independent of trend detection methods, while the latter shows a clear dependence (i.e., dealing with seasonality or not). Trend estimates of surface albedo and longwave net radiation are mainly affected by temporal scale effects, while those of snow depth, shortwave net radiation, and air temperature are affected by both temporal scale effects and the choice of trend detection methods. The feedbacks between these elements show a clear dependence on temporal scale, which are generally stronger on monthly scale but weaker on yearly scale.

This study aims to determine the effectiveness of the non-cash food assistance program on the welfare of the community in Maddenra Village, Kulo District, Sidenreng Rappang Regency. The population of this study is 111 people (beneficiary families) while the sample size is 55 people (beneficiary families). Data collection techniques used in this study were observation, interviews, questionnaires and literature study. The data analysis technique used was validity test and data reliability test, and simple linear regression and hypothesis testing with the help of SPSS version 21 application. The results showed that the effectiveness of the Non-Cash Food Assistance Program in Maddenra Village with a percentage of 56% was in the poor category. Community welfare in Maddenra Village with a percentage of 58% is in the poor category. Based on the value of tcount > ttable or 3,305 > 2,008, then H0 is rejected and Ha is accepted, meaning that it has a significant effect of 17,6%, the magnitude of the effect of variable X on variable Y.

This study aims to determine and analyze the Effect of Compensation and Motivation on Employee Job Satisfaction (Case Study at the Kota Kasablanka Branch Paperclip). Collecting data in this study using primary data obtained from questionnaires. The sample in this study were 48 employees of the Kota Kasablanka Paperclip Branch. The analysis technique used is simple regression analysis. Based on the results of the study, partially the compensation variable (X1) has a positive and significant effect on employee job satisfaction (Y) with the results of tcount 4.303> t table 1.679 with t sig 0.000 ttable 1,679 with t sig 0,000> than 0.05. The coefficient of determination means the effect of the contribution between compensation (X1) and motivation (X2) on employee job satisfaction (Y). Testing the coefficient of determination (R2) obtained on the compensation variable on employee job satisfaction is 0.287 or 28.7% while the remaining 71.3% is influenced by other. The coefficient of determination (R2) on the motivation variable on employee job satisfaction is 0.445 or 44.5% while the remaining 55.5% is influenced by other factors.

Wheat and rapeseed are significant crops in Czech agriculture and remote sensing has huge potential for their management, given Sentinel-1 can overcome issues of cloudiness and monitor vegetation development via radar backscatter. This study compares radar and optical data characterizing the development of wheat and rapeseed in an agricultural cooperative in the Czech Republic. Radar Vegetation Index (RVI) and Normalized Difference Vegetation Index (NDVI) time-series of the main vegetation seasons between 2015 and 2018 are processed, analysed, and compared with each other. In 2018, the comparison of data with ground measurement by camera was also used. The temporal development of RVI is affected by noise, which is caused by the composition of imagery from different Relative orbits. The separation of imagery according to the Relative orbit used seemed to provide results more comparable to the phenological curve. Simple linear regression between NDVI and RVI illustrated that considering Relative orbit can slightly increase the Coefficient of determination. By selecting a suitable Relative orbit, the coefficient of determination between NDVI and RVI increased from 0.281 to 0.387 in the case of wheat and from 0.233 to 0.316 in the case of rape monitoring. The RVI for rapeseed and the height of canopy correlation was 0.392. The results for RVI presented in this article demonstrated that monitoring wheat and rapeseed development by Sentinel-1 has potential, however more research needs to be conducted in the areas of spatial and temporal noise removal.

This study aimed to discover the school principal instructional leadership influence on job satisfaction of vocational high school teachers in Sleman Regency, D.I. Yogyakarta. This type of research was ex-post facto with a quantitative approach. The questionnaire was conducted on 91 teachers (71,09% response rate) to examine the influence of principal instructional leadership (X) on teacher job satisfaction (Y). Validation of the instrument used expert judgment and empirical test with the Pearson Product Moment correlation, 43 out of 43 items are declared valid. The instrument reliability test was applied by using Cronbach's Alpha. The results of the reliability test showed that all variables were declared reliable (α 0,7). A classical assumption test was done by testing normality, linearity, multicollinearity, and heteroscedasticity. Simple linear regression was used as data analysis to test the influence of the independent variable (X) towards the dependent variable (Y). The simple linear regression results indicate a positive and significant influence between the principal instructional leadership on teacher job satisfaction (t = 13,329, p = .000). The coefficient of determination value (R^2) of 0,666 indicates that the principal instructional leadership influences teacher job satisfaction by 66,6%. Meanwhile, the remaining 33,4% are influenced by other factors.

This research was conducted to prove that APIC-based financial learning practices can improve financial literacy, which also has a positive effect on inclusive financial management education. The grand theory used in this research is Behavioral Finance Theory. The sample of this research used an error rate of 5%; therefore, the sample obtained amounted to 347 people. This study used the design of R&D and also the design of media applications. The study was conducted using a mixed-method. Data analysis techniques used: 1) data eligibility test, 2) t-test through one-way ANOVA analysis and 3) simple regression. The results showed that: (a) the APIC work system that was developed had met the material and media validity requirements, (b) APIC-based financial learning practices were able to increase financial literacy, and (c) APIC-based financial literacy had a positive effect on the level of inclusive financial management.

The paper aims at presentation of a methodology where the classical linear regression model is modified to guarantee more realistic estimations and lower parameter oscillations for a specific urban system. That can be achieved by means of the weighted regression model which is based on weights ascribed to individual cities. The major shortcoming of the methods used so far – especially the classical simple linear regression – is the treatment of individual cities as points carrying the same weight, in consequence of which the linear regression poorly matches the empirical distribution of cities. The aim is reached in a several-stage process: demonstration of the drawbacks of the linear parameter estimation methods traditionally used for the purposes of urban system analyses; introduction of the weighted regression which to a large extent diminishes specific drawbacks; and empirical verification of the method with the use of the input data for the USA and Poland

Understanding the uncertainty in the parameterization of the two photosynthetic capacity parameters, leaf maximum carboxylation rate (Vcmax), and maximum electron transport rate (Jmax), is crucial for modeling and predicting carbon fluxes in terrestrial ecosystems. In gas exchange models, to date, Jmax is typically estimated from Vcmax based on a linear regression. However, recent studies have revealed that this relationship varies, dependent upon species, leaf groups, and time, so it is doubtful that the regression applies universally. Furthermore, far less is known regarding how other leaf traits affect the regression. In this study we analyzed the two key photosynthetic parameters and popularly measurable leaf traits, leaf chlorophyll concentration and leaf mass per area (LMA), of cool-temperate forest stands in Japan, aiming to construct a simple regression applicable to temperate deciduous forests, at least. The analysis was based on a long-term field dataset covering years of data for both sunlit and shaded leaves at different altitudes. Results showed that the best-fitted slope of the regression differed markedly from those previously reported, which were typically acquired from sunlit leaves. LMA had a significant effect on the regression, producing the lowest root mean square errors and the highest ratio of performance to deviation values (RPD = 2.017). Although more data are needed to validate in other ecosystems, our approach at least provides a promising way to substantially improve photosynthesis model predictions, by introducing leaf traits into the popular empirical regression of Jmax against Vcmax, and ultimately to better understand the functioning of the photosynthetic machinery.

This study aims to find out which factors, between the word of mouth (WoM) or marketing promotion programs (MPP), drive motivation (push and pull); to explore the influence of travel motivation toward satisfaction, and to investigate the satisfaction effect of medical tourists with loyalty. This study used a survey method by distributing questionnaires to medical tourists from Indonesia (N = 152) who have visited hospitals in Malaysia for medical care at least once. Data analysis was carried out using several statistical procedures. Firstly, a multivariate test was conducted to find out whether there is a statistically significant difference in the push and pull motives based on the influencers. Second, multiple linear regression is performed to find out the influence of push and pull variables on satisfaction. Finally, a simple linear regression is calculated to find out the influence of satisfaction on loyalty. The findings show that there is a statistically significant difference in the push and pull motives based on the influencers (WoM or MPP). The effect size of both push and pull is almost equal. The relationship between push or pull and satisfaction is also statistically significant as 41.3% of the variance in the satisfaction is explained by the push and 51.8% by pull factors. Finally, satisfaction is a significant predictor for loyalty while 90.2% of the variance in loyalty is explained by satisfaction.

The purpose of study is to investigate the influence of e-procurement on the performance of state corporations in Kenya. Descriptive research design is adopted with the use of questionnaire as tool for primary data collected. The data yielded a response rate of 95.2 percent from a sample size of 62 used, which were drawn mainly from senior procurement managers of Kenya Rural Roads Authority (KeRRA). The data collected was statistically analysed to test content validity and reliability. In addition, a simple regression model was used conducted to test relationship between e-procurement and the performance of state corporations in Kenya. From the findings it was found out that e-procurement has transformed all routine purchasing transactions within KeRRA. However, it was established that e-procurement does not reduce the costs of acquiring materials and freeing up KeRRA resources. It was also noted that e-procurement positively increases the performance of state corporations.

The purpose of this research is to find out whether there is an effect of Capital Adequacy Ratio and Islamic Social Responsibility on Return On Assets both in terms of partial and simultaneous testing. Collecting data in this study is to use secondary data from the financial statements of Islamic companies listed on the Jakarta Islamic Index. By using two blades of analysis, namely simple linear regression analysis and multiple linear regression analysis. Based on the results of simple regression analysis, it is known that partially CAR affects ROA and partially ISR affects ROA. Then simultaneously CAR and ISR influence ROA. Therefore, the role of profit in the company has an influential role, because the main objective of the company's operations is to achieve maximum profit. Information on profit achievement is not only useful for external parties such as the public as users of Islamic financial institutions as service companies and internal parties as parties who carry out or run the company in order to determine steps how to run the company to make a profit.

Jambi Province became the second province in Indonesia whose small industrial businesses were minimally affected by COVID-19 in 2020 (BPS, 2020). Jambi City as a strategic location for the growth of small industries in Jambi Province. Therefore it is necessary to know the factors affecting the success of small industries. This study used primary and secondary data. Using ordinal logistic regression analysis to see the influence of entrepreneur characteristics, business characteristics, contextual variables on changes in profits and simple linear regression to analyze the influence of profit variables on the number of workers.

We performed a number of statistical analysis methods on the historical data for the air temperature at 2 m above the ground and its range, as reported by the database of NASA known as POWER, which stands for Prediction Of Worldwide Energy Resources. The point of analysis is the University of Buraimi, located in Al Buraimi Governate, in the Northwest of the Sultanate of Oman, near its border with United Arab Emirates (UAE). The data is in the form of a value per day, for every day in the year. The data analyzed span the period from January 3rd, 1981 (earliest day available) to December 31st, 2019 (latest end-of-year available). The statistical analysis methods include: simple linear regression, F-test: two-sample for variances, analysis of variance (ANOVA): single factor, and t-test: two-sample assuming equal variances (pooled). The results show that the mean of the local 2-meter air temperature is increasing at a rate of about 0.039 °C per year, starting from an estimated value of 27.4 °C in 1980. For the standard deviation of the 2-meter air temperature, and the mean and standard deviation of its range; although a linear regression analysis suggests a decline over time, the regression coefficient is not significant. On the other hand, the analysis of variance for the 9 years 1981, 1985, 1990, 1995, 2000, 2005, 2010, 2015, 2019 suggests existence of statistical difference among them collectively, for the 2-meter air temperature and its range. In the second part of this work, NASA POWER data for the air temperature at 2 m above the ground, the atmospheric pressure, the relative humidity at 2 m above the ground, and the daily precipitation were compared with recorded sensor measurements at Manah meteorological station, located in Al Dakhiliyah Governate, in the Northeast of the Sultanate of Oman over all days of years 2011, 2012, 2015, and 2016. The statistical analysis and visual inspection suggest that NASA POWER data are reliable for the 2-meter air temperature, while showing about 2.1 kPa constant shift (underestimation) for the atmospheric pressure. The data show mild inaccuracy for the 2-meter relative humidity, but are largely unreliable for the precipitation, with significantly exaggerated values compared to real recordings., Global warming; Climate change; Greenhouse effect; Buraimi; Oman; Validation; NASA POWER

Research based on phenomena that show a decline in teacher performance. The purpose of this study was to describe the contribution of kindergarten principal leadership and academic supervision to performing kindergarten teachers. This type of research is quantitative, with a descriptive correlational approach. The population in this study were kindergarten teachers, amounting to 43 people. Respondents in this study amounted to 43 people. The instrument used is a Likert model scale and a questionnaire about teacher performance, the leadership of the kindergarten principal, and the academic supervision of the education unit supervisor. Test the validity using the product moment correlation. For the reliability test using Cronbach’s alpha. The requirements analysis tests carried out are; normality test, linearity test and multicollinearity test. The data analysis technique used simple regression and multiple regression. The results showed that; 1) there is a contribution from the leadership of the kindergarten head to performing the kindergarten teacher, 2) there is the contribution of the academic supervision of the education unit supervisor to the kindergarten teacher’s performance, and 3) there is the contribution of the leadership of the kindergarten head and the academic supervision of the education unit supervisor to the kindergarten teacher performance.

BACKGROUND There is little longitudinal research on whether changes to Total Worker Health® (TWH) policies and programs are associated with changes in health climate and safety climate. We hypothesize that as TWH policies and programs change, employees will report changes in safety climate and health climate from baseline to 1 year. METHODS Twenty-five diverse small businesses and their employees participated in assessments completed approximately 1 year apart. The exposures of interest, TWH policies and programs, were measured using the business-level Healthy Workplace Assessment™ which collects information on six benchmarks. The outcomes of interest, employee perceptions of safety climate and health climate, were measured via an employee survey. We employed paired t-tests and simple linear regression to assess change over a 1-year period. RESULTS The mean Healthy Workplace Assessment overall score changed by 11.3 points (SD = 11.8) from baseline to Year 1. From baseline to Year 1, the mean scores of each benchmark changed in a positive direction within this sample. The mean safety climate score and health climate score changed by +0.1 points (SD = 0.2) and +0.1 points (SD = 6.4) from baseline to Year 1, respectively. The associations between changes in the overall Healthy Workplace Assessment score and health climate and safety climate scores were negligible [β = 0.01 (95% confidence interval [CI]: 0.002, 0.02), and β = 0.01 (95% CI: 0.002, 0.02), respectively]. CONCLUSION Our study suggests that when small businesses improve upon their TWH policies and programs they experience marginal measurable improvements in employee perceptions of their workplace safety climate and health climate.

The purpose of the study was to determine whether student activity in the organization affected learning achievement and soft skills improvement. This study used a descriptive quantitative approach; data collection techniques used was the questionnaire method. The research population was 365 students of the Faculty of Economics and Business, UNP Kediri class of 2018. The samples were taken using a purposive sampling technique with a total of 79 students. Data analyses used were validity, reliability, normality, multicollinearity, heteroscedasticity tests, simple regression analysis techniques, hypothesis testing and determination tests (R2). This study used SPSS software version 23 which showed the results of the t-test of learning achievement variable values with a sig of 0.46 ftable with a total of 3,970 ftables, simultaneously student activity in the organization had a positive and significant influence on learning achievement and improvement of soft skills on Economics and Business students of Nusantara PGRI University, Kediri. Keywords: Organization, Learning Achievement, and Soft Skills.

Women who are married at the same time choose to work will easily be led to work family conflicts in which women will be faced with the demands of their respective roles. The purpose of this study was to determine whether family work conflated had an effect on psychological well being of female employees working in factories. This research is included in a quantitative study conducted on 108 female employees with an age range of 25-55 years and have a minimum service period of 1-2 years. Data was collected through filling out a questionnaire by modifying the work family conflict scale instrument from Khairuni Atikah (2018) based on Greenhaus Beutell's theory (1985) and the psychological well being scale from Mamluatul Khoiroh (2015) based on Ryff's theory (1989). Data analysis in this study used a simple regression analysis using the SPSS (Statistical Program for Social Science) version 24.0. The results of the research that has been done show that work family conflict has a negative effect on psychological well being where Y = a + bX (Y = 85,968 - 0.466 X = 85,502 X). The regression coefficient value obtained is -0.466 proves that the increasing work family conflict of an employee will affect the decrease in psychological well being, because any increase or decrease in the work family conflict variable will cause an increase or decrease in the psychological well being variable. , and the magnitude of the effect of work family conflict on psychological wel being is 20.6%, while the rest is influenced by other variables not examined in this study.

This research is intended to answer questions. As a result, micro finance must be maintained. The population in this study is 232 customers. Siharsimi Arikunto estimated sample size was 25, thus producing a sample of 58 respondents and sampling samples using the purposing sampling. His data collection methods with the spread of questionnaires interviews, and documentaries. And the data analysis uses simple regression. Research has shown that independent variables in the micro-wakaf bank are arbitrarily affected by people's increased economic well-being. It's based on the results of the calculations obtained value. T account > the table is ( 9.23 > 2.0025) with a value signifikansi 0'05. Thus the h1 hypothesis was accepted. According to data analysis, micro business flanking institution must be conducted as micro finance institution. The amount, the level of funds given. Has an influence on the business run by customers in their daily economic needs. So that in the increase in the business it self is still increasing, limites to additional capital. To add merchandise and try new businesses only used for consumptive purposes should be used as productive funds.

The purpose of this study was to determine the effect of compensation on employee performance. The method used is a quantitative research method with the number of samples used is 54 respondents. The sampling technique was done by random sampling. The results of the study: The correlation coefficient (rxy) was 0.46. This shows that there is a moderate relationship between the variables of Compensation and Employee Performance at Kreasindo Jaya Abadi; Compensation variable contributes to Employee Performance variable by 21.16% and the remaining 78.84% is contributed by other variables; We get a simple linear regression equation Y = 18.30 + 0.5082X. The results of the hypothesis analysis show the value of t count > t table (3.7353 > 1.6747), so H0 is rejected and Ha is accepted. So, it can be concluded that there is a significant influence between the Compensation variable and the Employee Performance variable.

This research analyzes the effect of investment decisions through Total Asset Growth (TAG) on Price to Book Value (PBV). Since PVB indicates stock measurement based on the ratio of stock price to book value, it is used by investors to assess the price offered. This research uses time-series data from 2014-2020 to examine seven companies selected using purposive sampling but based on fairly good asset developments from 2014 to 2020. Furthermore, this quantitative causal study data were collected using documentation from various sources and analyzed using a simple linear regression test. The results show that the TAG variable has no effect on PBV with a significance value of 0.89 0.05. This shows that TAG does not describe a stable company and is not always useful in investment decision-making.

Click-through rates (CTR) of search-engine advertising remain elusive, thus triggering the need for more research on ad effectiveness. Using simple regression techniques on a data set of 110,000 se...

The aim was to propose an approach for the consistency of monthly rainfall climatic series. The methodology was applied to series (1961-2010) of rainfall from meteorological stations located in the state of Rio de Janeiro (RJ) and on the border of the states of São Paulo, Minas Gerais and Espírito Santo with RJ. The data were submitted to quality analysis (physical limits, climatic limits and spatio-temporal tendency) and filling of gaps by the simple linear regression method, associated with the prediction band (p 0.9), in the others the break point of homogeneity was identified and the simple linear regression method was applied in its homogenization. This approach was effective to consist of the precipitation series and makes it possible to use these data in climate studies. The aim of this work was to propose a method for the consistency of climatic series of monthly rainfall using a supervised and unsupervised approach. The methodology was applied for the series (1961-2010) of rainfall from weather stations located in the State of Rio de Janeiro (RJ) and in the borders with the states of São Paulo, Minas Gerais and Espírito Santo with the State of Rio de Janeiro. The data were submitted to quality analysis (physical and climatic limit and, space-time tendency) and gap filling, based on simple linear regression analysis, associated with the prediction band (p < 0.05 or 0.01), in addition to the Z-score (3, 4 or 5). Next, homogeneity analysis was applied to the continuous series, using the method of cumulative residuals. The coefficients of determination (r²) between the assessed series and the reference series were greater than 0.70 for gap filling both for the supervised and unsupervised approaches. In the analysis of data homogeneity, supervised and unsupervised approaches were effective in selecting homogeneous series, in which five out of the nine final stations were homogeneous (p > 0.9). In the other series, the homogeneity break points were identified and the simple linear regression method was applied for their homogenization. The proposed method was effective to consist of the rainfall series and allows the use of these data in climate studies.