Analysis of variations in and correlations between selected physical parameters of common beech (Fagus silvatica L.) nuts

The basic dimensions and the mass of common beech nuts and seeds from five nut batches, harvested from tree stands in northern Poland, were determined. Environmental conditions had a greater influence on seed plumpness than the age of tree stands. The results of measurements were analyzed statistically by analysis of variance, correlation analysis and linear regression analysis. Despite differences in their plumpness, nuts were characterized by nearly identical cross-sections which resembled an equilateral triangle. The thickness of nuts and seeds was highly correlated with their mass, and this information can facilitate seed husking and separation into mass categories. Before and after husking, seeds should be separated with the use of a mesh screen with longitudinal openings. Medium-sized (most numerous) seeds were separated into the following plumpness categories using a screen separator with ≠6 mm and ≠7 mm openings: 84% of moderately plump seeds, 3% of seeds with reduced plumpness, and 13% of plump seeds.

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HUBUNGAN PERSEPSI TENTANG PROFESI FISIOTERAPI DENGAN MOTIVASI BELAJAR MAHASISWA AKADEMI FISIOTERAPI UKI

Jurnal Dinamika Pendidikan ◽

10.33541/jdp.v10i3.630 ◽

2018 ◽

Vol 10 (3) ◽

pp. 226

Author(s):

Maksimus Bisa

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Correlation Analysis ◽

Correlation Coefficient ◽

Linear Regression Analysis ◽

Motivation To Learn ◽

Simple Linear Regression ◽

Level 1 ◽

Relationship Of ◽

The Relationship

ABSTRACTThis study is descriptive analitik, aims to describe the relationship of perceptions about the physiotherapy profession with the motivation to learn students of the Academy of Physiotherapy UKI. Data collection through questionnaires to students of Physiotherapy Academy UKI level 1, 2, and 3 with a sample of 53 students, then give a score of each statement of questionnaire.The result of correlation analysis shows that p = 0,584> Î± (0,05) ho is accepted, so there is no significant relationship between the two variables. To measure the closeness and intensity of the relationship between the two variables, test of correlation coefficient and simple linear regression. The result of correlation coefficient test (r) obtained by -0,077, lies below the value of -0.30 (very weak) thus can be said there is no relation between perception about physiotherapy profession with motivation learn student Akfis UKI. Result of linear regression analysis obtained equation: Y = 73,52 + (-0,088) X. This means that every 1 point decrease of perception value will influence motivation value equal to 0,088 times.Keywords: Perception, motivation, physiotherapy profession, and learning achievement. ABSTRAKPenelitian ini bersifat deskriptif analitik, bertujuan untuk mendeskripsikan hubungan persepsi tentang profesi fisioterapi dengan motivasi belajar siswa Akademi Fisioterapi UKI. Pengumpulan data melalui kuesioner kepada siswa Fisioterapi Academy UKI tingkat 1, 2, dan 3 dengan sampel sebanyak 53 siswa, kemudian memberikan skor masing-masing kuesioner pernyataan. Hasil analisis korelasi menunjukkan bahwa p = 0,584> Î± (0,05) ho diterima, sehingga tidak ada hubungan yang signifikan antara kedua variabel tersebut. Untuk mengukur kedekatan dan intensitas hubungan antara kedua variabel tersebut, uji koefisien korelasi dan regresi linier sederhana. Hasil uji koefisien korelasi (r) diperoleh sebesar -0,077, berada di bawah nilai -0,30 (sangat lemah) sehingga dapat dikatakan tidak ada hubungan antara persepsi tentang profesi fisioterapi dengan motivasi belajar siswa Akfis UKI. Hasil analisis regresi linier diperoleh persamaan: Y = 73,52 + (-0,088) X. Artinya setiap 1 titik penurunan nilai persepsi akan mempengaruhi nilai motivasi sebesar 0,088 kali.Kata kunci: Persepsi, motivasi, profesi fisioterapi, dan prestasi belajar.

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The Relationship of Functional Status of Cortisol, Testosterone, and Parameters of Metabolic Syndrome in Male Schizophrenics

BioMed Research International ◽

10.1155/2020/9124520 ◽

2020 ◽

Vol 2020 ◽

pp. 1-8

Author(s):

Yi Han ◽

Haifeng Ji ◽

Li Liu ◽

Yuncheng Zhu ◽

Xixi Jiang

Keyword(s):

Quality Of Life ◽

Metabolic Syndrome ◽

Regression Analysis ◽

Correlation Analysis ◽

Testosterone Level ◽

Linear Regression Analysis ◽

Fasting Blood Glucose ◽

Metabolic Indices ◽

The Relationship

Background. The cross-sectional study is aimed at investigating the relationship between cortisol, testosterone, and metabolic characteristics among male schizophrenics. Methods. 174 patients were grouped based on their risk of metabolic syndrome (MetS) into the non-MetS, high-risk-MetS (HR-MetS), or MetS groups. Metabolic indices (body mass index (BMI), mean arterial pressure (MAP), cholesterol, triglyceride, and fasting blood glucose (FBG)) were associated with cortisol and testosterone levels using correlation analysis. Multiple linear regression analysis was used to associate the correlations between the WHO Quality of Life–BREF (WHOQOL–BREF) score and the five metabolic indices. Results. The WHOQOL–BREF score for the non-MetS group significantly differed from the scores of the HR-MetS and MetS groups. The triglyceride level was positively correlated with the cortisol level, while all five metabolic indices were negatively correlated with testosterone level. Stepwise regression analysis produced a model predicting WHOQOL–BREF scores with four variables including MAP, intelligence quotient (IQ), FBG, and age. The correlation analysis then showed that there was a weak linear correlation between the testosterone level and all five metabolic indices. Conclusions. Among the five metabolic indices, the risks of hypertension and hyperglycemia are correlated with the quality of life in male schizophrenics rather than those of obesity or hyperlipidemia.

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Preferences and amount of food eaten by the prawn Penaeus esculentus over moult cycle

Marine and Freshwater Research ◽

10.1071/mf9920727 ◽

1992 ◽

Vol 43 (4) ◽

pp. 727 ◽

Cited By ~ 14

Author(s):

BJ Hill ◽

TJ Wassenberg

Keyword(s):

Regression Analysis ◽

Feeding Behaviour ◽

Carapace Length ◽

Linear Regression Analysis ◽

Moult Cycle ◽

Natural Diet ◽

Stepwise Linear Regression Analysis ◽

Stepwise Linear Regression ◽

Daily Food ◽

Before And After

Analysis of the natural diet of prawns over the moult cycle shows a preference for molluscan tissue at all stages, with an apparent greater preference in the stage immediately following the moult dropping in the intermoult stages and then increasing again before the next moult. A laboratory study was carried out to provide more information on feeding behaviour over the moult cycle. Adults of Penaeus esculentus (carapace length 25 to 30 mm, weight 15.5 to 25.2 g) held at 32 to 35 and 23 to 25°C did not feed on the night of ecdysis. On the following nights, feeding increased to peak at 2.7 g of penaeid tissue per day in moult Stage C. For the rest of the moult cycle, feeding was fairly steady at about 1.23 g of penaeid tissue per day but dropped sharply two nights before ecdysis. The prawns increased in weight by 0.7 to 6.1 g (mean 3.5 g) over a moult cycle. A stepwise linear-regression analysis showed that, within the range tested, the increase in weight was not a function of prawn weight, duration of moult cycle (range 14 to 34 days), or daily food consumption (0.95 to 2.33 g). They ate more crustacean tissue (Metapenaeus bennettae) than bivalve tissue (Perna canaliculatus) over the entire moult cycle, except for the night before and after ecdysis, when they ate bivalve tissue almost exclusively.

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Analisis Pengaruh Harga, Produk, Perilaku Konsumen Terhadap Keputusan Pembelian Telon Lang

Jurnal STEI Ekonomi ◽

10.36406/jemi.v26i02.238 ◽

2017 ◽

Vol 26 (02) ◽

pp. 296-316

Author(s):

Bida Sari ◽

Estu Mahanani

Keyword(s):

Regression Analysis ◽

Quantitative Analysis ◽

Consumer Behavior ◽

Correlation Analysis ◽

Linear Regression Analysis ◽

Sampling Technique ◽

Multiple Linear Regression Analysis ◽

The People ◽

Research Population ◽

Analysis Determination

This study aims to determine the effect of variable price (X1), product (X2) and consumer behavior (X3) on buying decisions (Y). The method used is the interactive-associative research. This research population is all of the people who live at RT.13 and RT.14 RW.07 North Utan Kayu, East Jakarta.The sampling technique is done by Accidented Sampling of 67 respondents who attendCSR event “Kunjungan Posyandu Telon Cap Lang” PT. Eagle Indo Pharma at Posyandu RW.07.Data collection is using observation, interviews and questionnaires. Analysis of the data used is quantitative analysis, including correlation analysis, determination analysis and multiple linear regression analysis (simultaneously), and hypothesis testing using t-test and F-test.The results of data processing performed with SPSS 19.0 forwindows. The value of correlation coefficient (R) is 0.950.The value of determination coefficient is(R2) = 0.903. It means that 90.3%variation of dependent variable (decision of buying) could be predicted from the combination of variables (pricing, product and consumer behavior)and the remaining 9.7% is influenced by other factors. The regression equation was obtained Y = 1,291+ 0.289 X1 + 0.476 X2 + 0.205 X3. For the F test obtained F value is calculated at 142.689, greater than F-table (2.807) with α = 5%, so the conclusion: reject Ho and Ha is accepted. It means there is significant influence of variable price (X1), product (X2) and consumer behavior (X3) together on decision of buying(Y).

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Research on New Energy and Traditional Energy Based on SPSS

International Journal of Economics and Finance ◽

10.5539/ijef.v9n2p189 ◽

2017 ◽

Vol 9 (2) ◽

pp. 189

Author(s):

Yue Liu ◽

Jingqiu Wu

Keyword(s):

Regression Analysis ◽

Correlation Analysis ◽

Stock Price ◽

Linear Regression Analysis ◽

National Policy ◽

Investment Strategy ◽

Green Economy ◽

Energy Industry ◽

New Energy ◽

Fierce Competition

In China, the main profit of the energy industry is traditional energy sources, the proportion of traditional energy companies take on a high number. However, China has been putting forward green economy, with strongly support of national policy, the new energy enterprises emerge in an endlessly stream, the businesses involved in new energy economy profit a lot and that everyone is better off, which leads to a relatively strong upward tendency for new energy stocks. Therefore, based on such a fierce competition in the energy industry, it is necessary to know if the relevance of the new energy stock and traditional energy stock is positive or negative. This thesis is based on a combination of correlation analysis and regression analysis, analyze the correlation of new energy stock and traditional energy stock, and the sub-sectors of new energy, do research on stock investment strategy through the analysis of convergence. We firstly use SPSS to carry out correlation analysis on stock price, quantitatively illustrate the relationship between the two kinds of stocks, and then calculate the correlation coefficient, determine its correlation strength, at last linear regression analysis by SPSS, and summarize a functional relationship for the stock.

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AMH Highly Correlates with Cumulative Live Birth Rate in Women with Diminished Ovarian Reserve Independent of Age

The Journal of Clinical Endocrinology & Metabolism ◽

10.1210/clinem/dgab168 ◽

2021 ◽

Author(s):

Reshef Tal ◽

David B Seifer ◽

Renana Tal ◽

Emily Granger ◽

Ethan Wantman ◽

...

Keyword(s):

Regression Analysis ◽

Live Birth ◽

Ovarian Reserve ◽

Linear Regression Analysis ◽

Reproductive Technology ◽

Diminished Ovarian Reserve ◽

Cumulative Live Birth Rate ◽

Preimplantation Genetic Testing ◽

Cumulative Live Birth ◽

Highly Correlated

Abstract Context Antimullerian hormone (AMH) level is strongly associated with ovarian response in reproductive technology (ART) cycles but is a poor predictor of live birth. It is unknown whether AMH is associated with cumulative live birth rates (CLBR) in women with diminished ovarian reserve (DOR). Objective To examine the association between serum AMH and CLBR among women with DOR undergoing ART. Design Retrospective analysis of Society for Assisted Reproductive Technology Clinic Outcome Reporting System database 2014-16. Setting Not applicable Patients A total of 34,540 index retrieval cycles of women with AMH<1 ng/ml Interventions None Main Outcome Measures Cumulative live birth Results A total of 34,540 (25.9%) cycles with AMH<1 ng/ml out of 133,442 autologous index retrieval cycles were analyzed. Cycles with preimplantation genetic testing or egg/embryo banking were excluded. Data was stratified according to AMH and age and regression analysis of AMH and CLBR was performed for each age strata. Multiple logistic regression demonstrated that AMH is an independent predictor of CLBR (Odds ratio 1.39, 95%CI 1.18-1.64). Serum AMH was strongly associated with number of oocytes retrieved, embryos cryopreserved, mean number of cumulative embryos transferred, and percentage of cycles that had an embryo transfer,. Linear regression analysis demonstrated that AMH highly correlated with CLBR in each age strata. Conclusions Serum AMH is highly correlated with CLBR in women with DOR independent of age. The addition of AMH to current age-based prognostication counseling particularly in women with DOR would provide more informative and personalized CLBR prediction prior to ART.

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Real-Time PCR Assay forClostridium perfringensin Broiler Chickens in a Challenge Model of Necrotic Enteritis

Applied and Environmental Microbiology ◽

10.1128/aem.01803-10 ◽

2010 ◽

Vol 77 (3) ◽

pp. 1135-1139 ◽

Cited By ~ 18

Author(s):

Shu-Biao Wu ◽

Nicholas Rodgers ◽

Mingan Choct

Keyword(s):

Regression Analysis ◽

Real Time ◽

Real Time Pcr ◽

Broiler Chickens ◽

Linear Regression Analysis ◽

Culture Method ◽

Necrotic Enteritis ◽

Pcr Assay ◽

Relative Standard ◽

Highly Correlated

ABSTRACTWe compared ilealClostridium perfringensquantification results produced by real-time PCR and culture-based methods in broiler chickens in a challenge model of necrotic enteritis. Assessment of the relative standard deviations (RSDs) revealed that the real-time PCR assay generated a smaller standard deviation and thus was more precise than the culture-based method. Linear regression analysis indicated that the bacterial counts of these two methods were highly correlated (R2= 0.845). We suggest that real-time PCR could be a replacement of the culture method for quantifyingC. perfringensin the intestinal tracts of broiler chickens.

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Analysis of the Production Components in the Soybean Crop in the Last Two Decades in the State of Parana and Brazil

Journal of Experimental Agriculture International ◽

10.9734/jeai/2019/v37i630284 ◽

2019 ◽

pp. 1-7

Author(s):

Norma Schlickmann Lazaretti ◽

Patrícia Clemente Abraão ◽

Tatiane Calandrino Da Mata ◽

Kerolém Prícila Sousa Cardoso ◽

Noélle Khristinne Cordeiro ◽

...

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Correlation Analysis ◽

Pearson Correlation ◽

Linear Regression Analysis ◽

The State ◽

Agricultural Crop ◽

Simple Linear Regression ◽

Soybean Crop ◽

Simple Linear Regression Analysis

Introduction: Soy is an agricultural crop that has great economic importance. The analysis considering the cultivated area, the production and the yield of grains contributes to research and transfer of technology to the producers. Aims: To adjust the mathematical model using simple linear regression analysis and correlation between the variables of planted area, production and productivity, in the state of Paraná and Brazil, in the last two decades. Study Design: Data collection and research of information on the cultivation of soybeans in the state of Paraná and in Brazil on official websites Place and Duration of Study: State University of Western Paraná, Post-Graduation in Agronomy, between July 2018 and December 2018. Methodology: Data were obtained from the Portal of the Brazilian Institute of Geography and Statistics between 1997 and 2017. Simple linear regression analysis and Pearson correlation analysis were used. Results: By analyzing the results, it is possible to observe significant increases in soybean production in both Paraná and Brazil over this 20-year period. Paraná achieved a 205% increase in planted area, 290% in production and 141% in average yield. Conclusion: The simple linear regression and correlation analysis showed an adjustment between the cultivated area, the production and the average productivity in the soybean crop in the period from 1997 to 2017.

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A Statistical Approach for Predicting Airtightness in Residential Units of Reinforced Concrete Apartment Buildings in Korea

Energies ◽

10.3390/en13143598 ◽

2020 ◽

Vol 13 (14) ◽

pp. 3598

Author(s):

Kyung-Hwan Ji ◽

Hyun-Kook Shin ◽

Seungwoo Han ◽

Jae-Hun Jo

Keyword(s):

Regression Analysis ◽

Reinforced Concrete ◽

Correlation Analysis ◽

Prediction Model ◽

Statistical Approach ◽

Prediction Models ◽

Linear Regression Analysis ◽

Apartment Buildings ◽

Residential Units ◽

Connection Length

In this study, a model equation is derived that uses a statistical analysis based on empirical models to predict the airtightness of reinforced concrete apartment buildings popular in Asian regions. Airtightness data from 486 units personally measured by the authors in the past eight years are used. As major variables used in the prediction model, two groups of variables are configured for the geometric components of the envelope, which is a major path of airflow in a building and is where air infiltration and leakage occur. The two groups of variables represent (1) the areas of the individual components forming the envelope and (2) the connection lengths between different components of the envelope. For the effective prediction of airtightness, correlation analysis and multiple regression analysis were applied step by step in this study. The results of the correlation analysis indicated that the areas of the slab and the window are the area variables that present the greatest impact, whereas the perimeter length of the window is the connection length variable that presents the greatest impact. Using a multiple linear regression analysis method, airtightness prediction model equations can be derived, and it is found that the model with variables for area is able to predict airtightness more accurately compared to the two models derived from variables for connection length and all variables for area and connection length. Although the statistical approach in this study shows a limitation in that the prediction results may vary depending on the attributes and type of data collected by countries, the methodology and procedure in this study contribute to similar studies for making prediction models and finding the influence of variables in the future with high applicability and feasibility.

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Optimized Surgical Strategy for Adult Spinal Deformity: Quantitative Lordosis Correction versus Lordosis Morphology

Journal of Clinical Medicine ◽

10.3390/jcm10091867 ◽

2021 ◽

Vol 10 (9) ◽

pp. 1867

Author(s):

Sang-Kyu Im ◽

Ki Young Lee ◽

Hae Seong Lim ◽

Dong Uk Suh ◽

Jung-Hee Lee

Keyword(s):

Regression Analysis ◽

Linear Regression ◽

Correlation Analysis ◽

Sagittal Alignment ◽

Adult Spinal Deformity ◽

Linear Regression Analysis ◽

Multiple Linear Regression Analysis ◽

Optimal Alignment ◽

Stepwise Multiple Linear Regression

Background: In surgical correction of adult spinal deformity (ASD), pelvic incidence (PI)-lumbar lordosis (LL) plays a key role to restore normal sagittal alignment. Recently, it has been found that postoperative lordosis morphology act as an important factor in preventing mechanical complications. However, there have been no studies on the effect of postoperative lordosis morphology on the restoration of sagittal alignment. The primary objective of this study was to evaluate the effect of postoperative lordosis morphology on achievement of optimal sagittal alignment. The secondary objective was to find out which radiographic or morphologic parameter affects sagittal alignment in surgical correction of ASD. Methods: 228 consecutive patients with lumbar degenerative kyphosis who underwent deformity correction and long-segment fixation from T10 to S1 with sacropelvic fixation and follow-up over 2 years were enrolled. Patients were divided according to whether optimal alignment was achieved (balanced group) or not (non-balanced group) at last follow-up. We analyzed the differences of postoperative radiographic parameters and morphologic parameters between two groups. Correlation analysis and stepwise multiple linear regression analysis was performed to predict the effect of PI-LL and morphologic parameters on the sagittal vertical axis (SVA). Results: Of 228 patients, 195 (85.5%) achieved optimal alignment at last follow-up. Two groups significantly differed in postoperative and last follow-up LL (p < 0.001 and p = 0.028, respectively) and postoperative and last follow-up PI-LL (p < 0.001 and p = 0.001, respectively). Morphologic parameters did not significantly differ between the two groups except lower lordosis arc angle (=postoperative sacral slope). In correlation analysis and stepwise multiple linear regression analysis, postoperative PI-LL was the only parameter which had significant association with last follow-up SVA (R2 = 0.134, p < 0.001). Morphologic parameters did not have any association with last follow-up SVA. Conclusions: When planning spine reconstruction surgery, although considering postoperative lordosis morphology is necessary, it is still very important considering proportional lordosis correction based on individual spinopelvic alignment (PI-LL) to achieve optimal sagittal alignment.

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