Relationship between the excretion of protostrongylid larvae in sheep in North-west Spain and climatic conditions

1994 ◽  
Vol 68 (3) ◽  
pp. 197-201 ◽  
Author(s):  
P. Díez-Baños ◽  
P. Morrondo-Pelayo ◽  
A. Feijoo-Penela ◽  
B. Carrillo-González ◽  
C. López-Sández
Keyword(s):  
Relative Humidity ◽  
Linear Regression ◽  
Climatic Factors ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Statistical Correlation ◽  
Climatic Conditions ◽  
Intensity Of Infection ◽  
North West ◽  
One Year

AbstractThe relationship between different climatic factors (temperature, relative humidity and rainfall) and the pattern of lungworm larval excretion was studied in sheep under a continuous grazing pattern in North-west Spain, where the climate is intermediate between sub-humid Mediterranean with an Atlantic tendency and European Atlantic. Over a period of one year, 44 animals were sampled once a month at random from a flock of 80 Galician breed sheep, all over 4 years old. Faeces were taken directly from the rectum and the number of first stage larvae per gram of faeces was determined for each animal, and the species of Protostrongylidae (Nematoda) identified. Larval excretion was irregular during the study. The prevalence and intensity of infection were greater in the colder months (40.9%; x=12.3 ± 40.4) and less in the warmer months The species of Protostrongylidae identified and prevalences (%) were Neostrongylus linearis (71.5), Muellerius capillaris (18.8) and Cystocaulus ocreatus (9.7). Between November and March, with low temperatures, the prevalence and intensity of parasitism with N. linearis and M. capillaris were greater than in the months with high temperatures (May to September). Multiple linear regression analysis showed statistical correlation between temperature, relative humidity and rainfall considered together and the number of N. linearis larvae per gram of faeces. Linear regression showed a correlation between the temperature and the percentage of sheep that passed M. capillaris. In general, the prevalence and intensity of infection of the sheep with N. linearis, M. capillaris and C. ocreatus larvae decrease when the temperature increases and increase when the relative humidity and rainfall increases.

Infestation level and population dynamics of aphid on mustard

2018 ◽  
Vol 43 (4) ◽  
pp. 611-618 ◽  
Author(s):  
E Mandal ◽  
MR Amin ◽  
H Rahman ◽  
AM Akanda
Keyword(s):  
Population Dynamics ◽  
Regression Analysis ◽  
Relative Humidity ◽  
Linear Regression ◽  
Light Intensity ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Lipaphis Erysimi ◽  
Infestation Level ◽  
Weather Parameters

Mustard (Brassica juncea) variety BARI Shorisha-11 was cultivated during September 2016 to March 2017 in Gazipur, Bangladesh to find out the population dynamics of aphid and its infestation level on mustard. The aphid Lipaphis erysimi (Homoptera: Aphididae) was abundant in the field and caused infestation. The population of aphid in the mustard field showed fluctuation and reached to the peak at 22 December which was 289 per plant. Inflorescence had significantly higher level of infestation compared to individual siliqua and leaf. The daily mean temperature had significant negative, light intensity had insignificant negative and relative humidity had insignificant positive correlation with the abundance of aphid. The multiple linear regression analysis showed that the weather parameters namely temperature, light intensity and relative humidity individually as well as combindly contributed on the abundance of aphid, but the temperature had greater effect than other factors.Bangladesh J. Agril. Res. 43(4): 611-618, December 2018

scholarly journals PENGARUH HARGA DAN FASILITAS TERHADAP KEPUTUSAN BERKUNJUNG WISATAWAN DI OBJEK WISATA BUKIT GIBEON KECAMATAN AJIBATA KABUPATEN TOBA SAMOSIR

2018 ◽  
Vol 13 (1) ◽  
Author(s):  
Helena Sirait ◽  
Khafi Puddin
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Multiple Regression Equation ◽  
Simultaneous Test ◽  
Data Analysis Technique ◽  
Analysis Technique ◽  
One Year

This study aims to determine and can explain the influence of price and facilities on Tourist Tourist Decision In Tourism Object Bukit Gibeon Ajibata District Toba Samosir. The population in this study is 143,769 tourists determined from the number of visitors Bukit Gibeon Tourism Object in the period of one year, and the sample used amounted to 100 visitors. Data analysis technique used is Multiple Linear Regression used questionnaires by distributing questionnaires to samples (respondents) and collecting them back for processing. Data analysis technique used is data quality test and classical assumption test. Hypothesis testing using multiple linear regression analysis, T test, F test, and R2 test. Data analysis of each variable is obtained by multiple regression equation Y = 4,202 + 0,320 X1 + 0,652 X2 + e. Obtained R2 equal to 0,349 which mean X1 and X2 explain influence to variable Y equal to 34,9% while rest 65,1% explained variable outside company. The partial test resulted by each independent variable has an effect on the dependent variable with the research significance is smaller than 0.05, and the result of simultaneous-test calculation is 26,024 with F table 3.09 which means F count > F table with level of significant (α) < 0.05, which means the accepted hypothesis that Price and Facilities together have a significant effect on Tourist Visits Decision. Thus it can be concluded that Price and Facilities have a positive effect on Tourist Visits Decision In Tourism Object Gibeon Bukit Ajibata District Toba Samosir. Keywords: Price, Facilities, and Tourist Visiting Decision

scholarly journals Temperature and relative humidity are not major contributing factor on the occurrence of COVID-19 pandemic: An observational study in 57 countries

2020 ◽  
Author(s):  
Md. Abdus Sobur ◽  
Md. Saiful Islam ◽  
Md. Emdadul Haque ◽  
Md. Taohidul Islam ◽  
Antonio Toniolo ◽  
...  
Keyword(s):  
Relative Humidity ◽  
Linear Regression ◽  
Polynomial Regression ◽  
Linear Regression Analysis ◽  
Climatic Conditions ◽  
Control Measures ◽  
Quadratic Term ◽  
Average Temperature ◽  
Daily Average ◽  
Daily Average Temperature

AbstractThe world searching for hope has already experienced a huge loss of lives due to COVID-19 caused by SARS-CoV-2 started in Wuhan, China. There are speculations that climatic conditions can slowdown the transmission of COVID-19. Findings from the early outbreak indicated the possible association of air temperature and relative humidity in COVID-19 occurrence in China. Current study focused on whether climatic conditions(temperature and relative humidity)are having any influence in the occurrence of COVID-19 when the outbreak has been classified as pandemic. To determine the effect of daily average temperature and average relative humidity on log-transformed total daily cases of COVID-19, polynomial regression as a quadratic term and linear regression were done. Linear regression analysis was also carried out to explore the same effect on selected countries. Present study observed no correlation between the climatic conditions (the daily average temperature and relative humidity) and the number of cases of COVID-19. Similar result was found in relation between daily average temperature and average number of cases per day in country-wise analysis. However, about 93.5% cases of COVID-19 occurred between 1°C to 16°C and the average number of cases per day was lower in high temperature country than low temperature country with exceptions. The minimum effect of summer temperature may not be effective to control the pandemic rather need to apply the control measures of COVID-19.

scholarly journals Application of Machine learning in Crop Yield Prediction of Finger Millet using Multiple Linear Regression

2020 ◽  
pp. 280-284
Author(s):  
Tarun Mourya. S S ◽  
S. Nagini ◽  
Anne Slagha
Keyword(s):  
Machine Learning ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Crop Yield ◽  
Crop Production ◽  
Finger Millet ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Climatic Conditions ◽  
The Given

Agriculture is the mainstay of the Indian economy and it is important to enhance the production with the help of technology. Crop production is a complex phenomenon that is influenced by various parameters like climatic conditions, fertilizers, production, rainfall, etc. In the present study Machine learning is used to predict the crop yield of finger millet using multiple linear regression analysis. Multiple linear regression is considered as a model for prediction and the accuracy of the model for the given data is significantly high when compared to other models. Object oriented Python is used and packages like NumPy and Pandas are utilized for performing operations and data analysis respectively. The main advantage of the research is the prediction of the approximate crop yield well ahead of its harvest, which would help the farmers in taking appropriate measures in crop cultivation, marketing and storage. Such predictions will also help the associated industries for planning the logistics of their business.

PENGARUH FAKTOR-FAKTOR INTERNAL PERBANKAN TERHADAP NON PERFORMING FINANCING PADA BANK UMUM SYARIAH

2019 ◽  
Vol 6 (2) ◽  
pp. 115-130
Author(s):  
Eka Ambara Harci Putranta ◽  
Lilik Ambarwati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Capital Adequacy ◽  
Annual Reports ◽  
Regression Methods ◽  
Capital Adequacy Ratio ◽  
Negative Effect ◽  
Independent Variable

The study aims to analyze the influence of internal banking factors in the form of: Capital Adequency Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing at Sharia Banks. This research method used multiple linear regression analysis with the help of SPSS 16.00 software which is used to see the influence between the independent variables in the form of Capital Adequacy Ratio (CAR), Financing to Deposit Ratio (FDR) and Total Assets (TA) to Non Performing Financing. The sample of this study was 3 Islamic Commercial Banks, so there were 36 annual reports obtained through purposive sampling, then analyzed using multiple linear regression methods. The results showed that based on the F Test, the independent variable had an effect on the NPF, indicated by the F value of 17,016 and significance of 0,000, overall the independent variable was able to explain the effect of 69.60%. While based on the partial t test, showed that CAR has a significant negative effect, Total assets have a significant positive effect with a significance value below 0.05 (5%). Meanwhile FDR does not affect NPF.

ANALISIS PENGARUH INFLASI, KURS DAN IHSG TERHADAP RETURN REKSA DANA SAHAM PT NIKKO SECURITIES INDONESIA PERIODE 2014-2017

2019 ◽  
Vol 2 (2) ◽  
pp. 103
Author(s):  
Muhammad Rois Rois ◽  
Manarotul Fatati Fatati ◽  
Winda Ihda Magfiroh
Keyword(s):  
Regression Analysis ◽  
Exchange Rate ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Stock Price ◽  
Price Index ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Equity Fund ◽  
Stock Price Index

This study aims to determine the effect of Inflation, Exchange Rate and Composite Stock Price Index (IHSG) to Return of PT Nikko Securities Indonesia Stock Fund period 2014-2017. The study used secondary data obtained through documentation in the form of PT Nikko Securities Indonesia Monthly Net Asset (NAB) report. Data analysis is used with quantitative analysis, multiple linear regression analysis using eviews 9. Population and sample in this research are PT Nikko Securities Indonesia. The result of multiple linear regression analysis was the coefficient of determination (R2) showed the result of 0.123819 or 12%. This means that the Inflation, Exchange Rate and Composite Stock Price Index (IHSG) variables can influence the return of PT Nikko Securities Indonesia's equity fund of 12% and 88% is influenced by other variables. Based on the result of the research, the variables of inflation and exchange rate have a negative and significant effect toward the return of PT Nikko Securities Indonesia's equity fund. While the variable of Composite Stock Price Index (IHSG) has a negative but not significant effect toward Return of Equity Fund of PT Nikko Securities Indonesia

Struktur Organisasi, Desain Kerja, Budaya Organisasi Dan Pengaruhnya Terhadap Produktivitas Karyawan Studi Kasus Pada PT. XX Di Jakarta

Liquidity ◽  
2018 ◽  
Vol 1 (2) ◽  
Author(s):  
Yanti Budiasih
Keyword(s):  
Organizational Culture ◽  
Regression Analysis ◽  
Linear Regression ◽  
Organizational Structure ◽  
Research Method ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Job Design ◽  
Employee Productivity ◽  
Dominant Influence

The objectives of this study are to analyze changes in organizational structure, job design, organizational culture and its influence on employee productivity at PT. XX in Jakarta and to identify variables that have a dominant influence on the productivity of employees. The research method used is using multiple linear regression analysis. The results show that the all variables simultaneously and partially change the organizational structure, job design, and organizational culture has a significant impact on employee productivity at PT. XXin Jakarta.

Pengaruh Kepemimpinan dan Disiplin Kerja Terhadap Kinerja Karyawan: Studi Kasus PT Sucofindo Palembang Indonesia

MBIA ◽  
2019 ◽  
Vol 18 (1) ◽  
pp. 76-84
Author(s):  
Muhammad Idris ◽  
Dian Novita Sari
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Random Sampling ◽  
Linear Regression Analysis ◽  
Secondary Data ◽  
Multiple Linear Regression Analysis ◽  
Primary Data ◽  
Collection Method ◽  
Analysis Techniques ◽  
Analysis Technique

The problem in this study is whether there is an influence of leadership and work discipline on the employees’ performance of PT.Sucofindo Palembang City. This research includes associative research. The sample in this study were 88 respondents, with propotionate random sampling analysis technique. The data used were primary data and secondary data. Data collection method through questionnare. Analysis techniques using multiple linear regression analysis, F test (Simultaneoys) and t test (partial) and determination coeffiecient. The results show that there is influence of leadership and work discipline on the performance of PT.Sucofindo Palembang City.

PENGARUH KUALITAS PELAYANAN DAN WORD OF MOUTH TERHADAP KEPUTUSAN PEMBELIAN DI KAFE POTRET MEDAN

2019 ◽  
Vol 13 (2) ◽  
pp. 199
Author(s):  
Asrye Tutur Sinaga ◽  
Nurul Wardani
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Service Quality ◽  
Word Of Mouth ◽  
Hypothesis Test ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Quality Data ◽  
Purchasing Decisions ◽  
Study Hypothesis

AbstrakPenelitian ini bertujuan untuk mengetahui dan dapat menjelaskan pengaruh Kualitas Pelayanan dan Word Of Mouth terhadap Keputusan pembelian di Kafe Potret Medan. Populasi dalam penelitian ini adalah 700 orang ditentukan dari jumlah pengunjung Kafe Potret Medan dalam kurun waktu satu minggu, dan sampel yang digunakan berjumlah 88 pengunjung. Sedangkan tehnik pengumpulan data menggunakan angket (kuesioner) dan pengujiannya yaitu uji kualitas data dan uji asumsi klasik.Pengujian hipotesis menggunakan analisis regresi linier berganda, uji F, uji t, dan uji R2. Hipotesis penelitian dimensi Kualitas Pelayanan dan Word Of Mouth secara parsial terhadap Keputusan Pembelian diterima jika t hitung > t tabel dengan tingkat signifikan 0.05.Nilai t tabel dalam penelitian ini 1,662. Nilai t hitung variabel X1 sebesar 1,990 t hitung  > t tabel maka hipotesis diterima, nilai t hitung variabel X2 sebesar 2,628 t hitung > t tabel maka hipotesis diterima. Dari 2 variabel, variabel Word Of Mouth yang paling dominan mempengaruhi Keputusan Pembelian  sebesar 2,628. Kata Kunci : Kualitas Pelayanan, Word Of Mouth, Keputusan Pembelian AbstractThe purpose of this study is to identify and able to explain the influence of Service Quality and Word Of Mouth to Purchasing Decisions of Kafe Potret Medan. The population in this study were 700 people from visitors Kafe Potret Medan in one week, and the samples used were 88 visitors. While the techniques of data collection using the questionnaire and use the test of quality data and classical assumption. The hypothesis test uses multiple linear regression analysis, F test, R square and t test. The study hypothesis was partially of Service Quality and Word Of Mouth dimension to  Purchasing Decisions is acceptable if t hitung > t tabel with a significant level 0.05. The t tabel value in this study 1.662. The t hitung X1 is 1.990 that mean t hitung > t tabel then the hypothesis is accepted, t hitung X2 is 2.628 that mean t hitung > t tabel then the hypothesis is accepted. From 2 variables fascination that the most dominant variable for Purchasing Decisions is Word Of Mouth of 2.628. Keywords : Service Quality, Word Of Mouth, Purchasing Decisions

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