scholarly journals ​Multiple Linear Regression Analysis for Factors Influencing Net Return Per Animal in Male Buffalo Calves Farming

2021 ◽  
Author(s):  
V. Senthil Kumar
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Tamil Nadu ◽  
Linear Regression Analysis ◽  
Herd Size ◽  
Variable Cost ◽  
Meat Industry ◽  
Buffalo Calves ◽  
Net Return ◽  
Cent Increase

Background: An integrated crop with male buffalo calves farming system consists of a range of resource-saving practices that aim to achieve high acceptable profits and sustained production levels, while minimizing the negative effects of farming. The farmers earn good income by rearing these calves up to a suitable age and then sell them to meat industry, utilize the dung and urine as manure and fodder wastages used as feeding for male buffalo calves. Methods: Coimbatore, Theni and Kanyakumari districts of Tamil Nadu State were purposively selected for the present study. From each of the selected districts, 20 male buffalo calves rearer were selected randomly, covering a total of 60 male buffalo calves farmers. The collected data were analyzed, by using multiple linear regression function and study the relationship between net return per animal. Result: The five variables viz., sale price of animal, total variable cost, herd size, deworming practices and purchase age of animals were found to be significantly associated with net return per animal in male buffalo calves farming. The coefficient of this variable shows that for every one per cent increase in herd size, there will be 88.611 per cent increase in net return.

MEKANISASI USAHATANI PADI DI KECAMATAN SANANWETAN KOTA BLITAR

2020 ◽  
Vol 21 (1) ◽  
pp. 20-28
Author(s):  
Cristina Ratnawati
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Variable Cost ◽  
Rice Farming ◽  
Land Area ◽  
Rice Farmers ◽  
Group Members ◽  
Labor Requirements

Mechanization is one form of technology adoption to improve yields in rice farming. The aims of the research to determine the use of agricultural mechanization and its impact on rice farming in Sananwetan Sub-District, Blitar City expected to improve the standard of living and welfare of its group members. The number of samples taken was 50 rice farmers in Sananwetan Sub-District, Blitar City, chosen by using proportional random sampling. Data analysis using the Mann-Whitney Test and the Multiple Linear Regression Cobb Douglas Model. From the results of interviews in this study show that the use of the mechanization of rice farming in Sananwetan Sub-District, Blitar City is still not optimal. This was due to farmers' perceptions of the unsatisfactory results of agricultural machinery performance, a sense of humanity to 'farm laborers', narrow land area and insufficient availability of farm machinery. While from the results of Mann Whitney's test show that pesticide use and labor requirements were smaller and differed significantly in the use of full mechanization rather than partial mechanization. Other than that, the variable cost of the harvest is lower in the use of full mechanization and is significantly different compared to using the mechanism partially. Rice productivity in full mechanization was 782.15 kg / 1000m2 while partial mechanization was 682.87 kg / 1000m2. For farmers' income in full mechanization is IDR. 1,153,407, - per 1000 m2, in the partial mechanization of IDR. 1,590,574, - per 1000m2. From Cobb Douglas model multiple linear regression analysis found that land area (m2), seed costs and the use of mechanization had a significant effect on the income of rice farming in Sananwetan District, Blitar City.

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

An Empirical Study of Investor Attitudinal Factors Influencing Herd Behavior: Evidence from Pakistan Stock Exchange

2019 ◽  
Vol 12 (1) ◽  
pp. 1-11
Author(s):  
Faid Gul ◽  
Karamat Khan
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Psychological Factors ◽  
Stock Exchange ◽  
Linear Regression Analysis ◽  
Primary Data ◽  
Herd Behavior ◽  
Individual Investor ◽  
Decision Accuracy ◽  
Attitudinal Factors

Behavioral Finance is an evolving field that studies how psychological factors affect decision making under uncertainty. Herding behavior is one of the psychological factors that instigate investor to mimic the actions of other investors in the market rather than using his personal assessments. This study seeks to find the influence of certain attitudinal factors namely, decision conformity, hasty decision, mood, decision accuracy, and overconfidence, on the individual investor tendency to embrace herd behavior. Primary data for the study are collected using structured questionnaires from a sample of 194 investors who are trading at Islamabad and Lahore branches of Pakistan Stock Exchange. Multiple linear regression analysis is used to test the hypotheses of this study. Findings of this study provide evidence that attitudinal factors have a significant influence on investor’s tendency to take on herd behavior. It is concluded from the results of multiple linear regression that decision conformity, mood, and decision accuracy have a significant impact on individual investor tendency to adopt herd behavior. However, investor hasty decision and overconfidence is insignificant predictors of herd behavior. Keywords: Decision conformity, Hasty decision, Mood, Decision accuracy, Overconfidence, Herd behavior

PENGARUH LOKASI, KUALITAS PRODUK TABUNGAN, KUALITAS PELAYANAN TERHADAP KEPUASAN NASABAH DALAM MENABUNG DI BMT ADZKIYAH KHIDMATUL UMMAH DI KOTA METRO

2019 ◽  
Vol 3 (2) ◽  
pp. 439
Author(s):  
Suwarto Suwarto ◽  
Risa Anggraini
Keyword(s):  
Linear Regression ◽  
Customer Satisfaction ◽  
Service Quality ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Requirements Analysis ◽  
Primary Data ◽  
Homogeneity Test ◽  
Linearity Test

This research is motivated by customer satisfaction which is a customer action to save. The purpose of this study was to determine the ef ect of location, quality of savings products, service quality on customer satisfaction. In this study using primary data collected by explanatory research methods and sample collection techniques in the form of accidental sampling of BMT customers Adzkiyah Khidmatul Ummah using a questionnaire with a likert skla in BMT Adzkiyah Khidmatul Ummah in Metro City. Testing the instrument requirements used include validity, reliability testing. Requirements analysis using normality test, linearity test, homogeneity test. And analysis tools using multiple linear regression with partial test (t test), simultaneous test (f test), coef icient of determination test (R2). As testing requirements analysis and hypothesis testing. Based on the results of research using multiple linear regression analysis obtained location influences customer satisfaction, the quality of savings products does not af ect customer satisfaction, and service quality influences customer satisfaction.

Predictive Factors for Hamstring Autograft Diameter in Anterior Cruciate Ligament Reconstruction

2019 ◽  
Author(s):  
Willem M.P. Heijboer ◽  
Mathijs A.M. Suijkerbuijk ◽  
Belle L. van Meer ◽  
Eric W.P. Bakker ◽  
Duncan E. Meuffels
Keyword(s):  
Anterior Cruciate Ligament ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Acl Reconstruction ◽  
Cruciate Ligament ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Model ◽  
Gracilis Tendon ◽  
Thigh Circumference ◽  
Anterior Cruciate

AbstractMultiple studies found hamstring tendon (HT) autograft diameter to be a risk factor for anterior cruciate ligament (ACL) reconstruction failure. This study aimed to determine which preoperative measurements are associated with HT autograft diameter in ACL reconstruction by directly comparing patient characteristics and cross-sectional area (CSA) measurement of the semitendinosus and gracilis tendon on magnetic resonance imaging (MRI). Fifty-three patients with a primary ACL reconstruction with a four-stranded HT autograft were included in this study. Preoperatively we recorded length, weight, thigh circumference, gender, age, preinjury Tegner activity score, and CSA of the semitendinosus and gracilis tendon on MRI. Total CSA on MRI, weight, height, gender, and thigh circumference were all significantly correlated with HT autograft diameter (p < 0.05). A multiple linear regression model with CSA measurement of the HTs on MRI, weight, and height showed the most explained variance of HT autograft diameter (adjusted R 2 = 44%). A regression equation was derived for an estimation of the expected intraoperative HT autograft diameter: 1.2508 + 0.0400 × total CSA (mm2) + 0.0100 × weight (kg) + 0.0296 × length (cm). The Bland and Altman analysis indicated a 95% limit of agreement of ± 1.14 mm and an error correlation of r = 0.47. Smaller CSA of the semitendinosus and gracilis tendon on MRI, shorter stature, lower weight, smaller thigh circumference, and female gender are associated with a smaller four-stranded HT autograft diameter in ACL reconstruction. Multiple linear regression analysis indicated that the combination of MRI CSA measurement, weight, and height is the strongest predictor.

QSAR Docking on Azoles as inhibitors of Notum carboxylesterase

2021 ◽  
Vol 15 ◽  
Author(s):  
Amuthalakshmi Sivaperuman ◽  
Ramalakshmi Natarajan ◽  
Manimegalai P ◽  
Arunkumar Subramani ◽  
Puratchikody Ayarivan
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Wnt Signaling ◽  
Multiple Linear Regression ◽  
Inhibitory Activity ◽  
Linear Regression Analysis ◽  
External Validation ◽  
Negative Regulator ◽  
Qsar Analysis ◽  
Wnt Proteins

Background: Carboxylesterase Notum is a negative regulator of Wnt signaling. Notum carboxylesterase is a carboxylic ester hydrolase enzyme that functions as a negative feedback regulator of Wnt proteins by depalmitoylation reaction. It is of great importance to understand the pathway of Wnt regulation because, conversely, misregulation of Wnt signaling is a telltale sign of cancer and other degenerative diseases. The Wnt inhibition is important in the control of colorectal cancer. Objective: In the present study, we carried out a QSAR analysis of a series of reported compounds with carboxylesterase Notum inhibitory activity using multiple regression analysis. A series of 83 compound datasets of pyrrole derivatives with carboxy Notum inhibitory values were taken from the reported literature. Methods: The study was performed by conducting multiple linear regression analysis followed by validation of the model. The multiple linear regression (MLR) models with the highest coefficients of correlation (R2) and explained variance in leave-one-out (Q2 LOO) prediction and leave-many-out (Q2 LMO) were selected for the whole dataset. The developed models were subjected to internal and external validation. The reliability of the predicted model was checked by plotting the Williams plot. The docking methodology was performed using Autodock 4 for the designed compounds to study the interaction between the ligand and the receptor. Results: The best model generated exhibited an r2 value of 0.7413, Q2LOO =0.6379, Q2LMO =0.6368. Novel compounds of phenyl pyrrolidine were designed based on generated QSAR equations. The carboxylesterase Notum inhibitory activity was predicted using the QSAR equations. The docking studies were carried out for designed compounds using Autodock against Carboxylesterase Notum esterase. Conclusion: From the results, the designed compounds were found to inhibit Notum Carboxylase. Thus, the study led to the development of a novel lead compound for Carboxylesterase Notum.

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