Multiple Linear Regression Formula for the Probability of the Average Daily Solar Energy using the Queue System

2012 ◽  
Vol 5 (3) ◽  
pp. 93-98 ◽  
Author(s):  
Mohammed Mohammed El Genidy
Keyword(s):  
Linear Regression ◽  
Solar Energy ◽  
Multiple Linear Regression ◽  
Queue System ◽  
Regression Formula

scholarly journals PENGARUH INVESTASI DAN TENAGA KERJA TERHADAP PRODUK DOMESTIK REGIONAL BRUTO (PDRB) DAN PENDAPATAN ASLI DAERAH (PAD) KOTA BALIKPAPAN

2015 ◽  
Vol 5 (2) ◽  
pp. 159
Author(s):  
Johana Rosmalia ◽  
Rusdiah Iskandar ◽  
Fitriadi Fitriadi
Keyword(s):  
Time Series ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Pathway Analysis ◽  
Secondary Data ◽  
Strong Relationship ◽  
Domestic Product ◽  
Regression Formula

This study used secondary data in the form of time series which are analyzed using Pathway analysis with multiple linear regression formula. The purpose of this study was to determine the effect of investment and labor to gross regional domestic product (GRDP) and regional revenues in Balikpapan city.  The results of the study was shown that Y = 0.202 - 0.098 X1 + 0.244 X2 + 0.825 X3. The results showed that investment, labor and gross regional domestic product (GRDP) have jointly effect on the regional revenues in Balikpapan city. Partially; the investment has no significant effect on gross regional domestic product (GRDP), labor has significant effect on gross regional domestic product (GRDP), gross regional domestic product (GRDP) has significant effect to regional revenues in Balikpapan city, the investment has no significant effect on regional revenues in Balikpapan city, and labor has no significant effect on regional revenues in Balikpapan city. The contribution of investment, labor and gross regional domestic product (GRDP) variable was about 93.5 % and it means that those have very strong relationship; meanwhile, the rest, about 6.5 %, has been influenced by other factors.

scholarly journals THE INFLUENCE OF INCENTIVES AND SUPERVISION ON EMPLOYEE PRODUCTIVITY AT PT. PERKEBUNAN NUSANTARA VII BUSINESS UNIT PEMATANG KIWAH, NATAR, SOUTH LAMPUNG REGENCY

2018 ◽  
Author(s):  
Nuzleha ◽  
Hazairin Habe ◽  
Ahiruddin ◽  
Yuliana Yamin ◽  
Fahrizi
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
International Market ◽  
Crumb Rubber ◽  
T Test ◽  
Employee Productivity ◽  
Business Unit ◽  
Regression Formula ◽  
Test Result

The object of this research is PT. Perkebunan Nusantara VII Kiwah Business Unit is located at Jalan Raya No. 71. A. Tanjungrejo village, Natar sub-district, South Lampung regency. Engaged in agribusiness and crumb rubber agroindustry qualified Standard Indonesian Rubber (SIR) for domestic and International market. Problems faced by this company is the discipline and awareness of achievement is still low, the supervision function has not been done properly, so that employee productivity is not optimal as planned. The purpose of this research is; (1) To know the effect of incentives on employee productivity at PT. Perkebunan Nusantara VII Business Unit Pematang Kiwah Natar South Lampung Regency, (2) To know the effect of supervision on employee productivity (3) To know the effect of incentives and supervision on employee productivity. The number of samples is 70 respondents. The result of data analysis using multiple linear regression formula is Y = 5,516 + 0,714 X1 + 0,722 X2 + e. Test Result F significant level 95% is F count 24,47> F Table 3.15. Result of t test of significant level 95% is t count 6,224> t Table 1,667. Thus incentives and supervision significantly affect the productivity of employees at PT. Perkebunan Nusantara VII Business Unit Pematang Kiwah Natar South Lampung Regency.

scholarly journals Prediction of stature from long bones versus hand and foot measurements: A comparative study of the Kolhapur population

2021 ◽  
Vol 34 ◽  
pp. 154-157
Author(s):  
ARUN S. KARMALKAR ◽  
VASUDHA R. NIKAM
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Linear Regression Analysis ◽  
Multiple Linear Regression Analysis ◽  
Long Bone ◽  
Sample Population ◽  
Long Bones ◽  
Regression Formula ◽  
Hand Length

Background Estimation of stature is usually done by measurement of the long bones. Although hand and foot dimensions are useful in predicting stature, they are population-specific. Methods We compared the accuracy of predicting stature by hand and foot dimensions, with long bone (tibia and ulna) lengths, and developed a stature predictive regression formula from the parameters used for the sample population in Kolhapur. We recorded hand and foot measurements and long bone measurements of 1000 consenting participants 18–50 years of age using a stadiometer for height and an anthropometric rod compass for other measurements. Correlation between the variables and stature was determined using Pearson’s correlation analysis (p<0.05). A multiple linear regression formula was derived for the prediction of stature. Results A positive correlation was observed between mean stature and foot length (r=0.67, p<0.05), tibia (r=0.66, p<0.05), ulna (r= 0.75, p<0.05) and hand length (r=0.69 left, r=0.72 right, p<0.05). There was no correlation between foot breadth and stature. Multiple linear regression analysis of hand and foot dimensions returned R2=62.96 and standard error of estimate 4.689 with comparable computed and experimental measurements. Conclusion The dimensions of the hand and foot can be used to predict stature. The formula derived from the multiple regression analysis incorporating hand and foot dimensions is a good fit to estimate stature in the study population.

Quantitative assessment of the seismic net-pay method: A case study

2015 ◽  
Vol 3 (2) ◽  
pp. B25-B36 ◽  
Author(s):  
Ramses G. Meza ◽  
Juan M. Florez ◽  
Stanislav Kuzmin ◽  
John P. Castagna
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Multiple Regression ◽  
Prediction Error ◽  
Quantitative Assessment ◽  
Self Calibration ◽  
Regression Formula ◽  
Direct Use ◽  
Statistical Formula

We applied the seismic net-pay (SNP) method to an oil discovery and predicted thicknesses consistent with the actual thicknesses at the wellbore locations. This was accomplished by applying the method in a self-calibrating mode that did not require the direct use of well information. For net-pay estimation under a self-calibration scenario, the SNP method thickness estimates proved to be more accurate (mean absolute prediction error at well validation locations under [Formula: see text]) than estimates from a reflectivity-based detuning method ([Formula: see text]) or multiple linear regression ([Formula: see text]). Statistical [Formula: see text]-tests indicated that the correspondences of the predicted thickness estimates with actual net-pay values for the SNP and reflectivity methods (F approximately 5.5–6 for both) were statistically significant, whereas the multiple regression results did not prove to be statistically significant.

scholarly journals The influence of principal leadership and organizational climate on teacher performance

2021 ◽  
Vol 6 (1) ◽  
pp. 229
Author(s):  
Akbariah Rahmah ◽  
Muhammad Kristiawan ◽  
Destiniar Destiniar
Keyword(s):  
Linear Regression ◽  
Organizational Climate ◽  
Multiple Linear Regression ◽  
Principal Leadership ◽  
Quantitative Methods ◽  
Teacher Performance ◽  
Regression Formula

This study examined the level of the principal's influence leadership and organizational climate on both partial and simultaneous on teacher’s performance. This study was quantitative methods. Data were analyzed using multiple linear regression formula using SPSS version 22.0 for windows. The results of this study indicate that there is a significant effect of principal leadership and organizational climate together on teacher performance with an f-count value of 114,997 f-table of 3.13. The conclusion of this study is that to improve teacher performance, principal leadership and a good organizational climate are needed.

scholarly journals PENGARUH PEMANFAATAN PERPUSTAKAAN SEKOLAH DAN MINAT BACA SISWA TERHADAP HASIL BELAJAR IPS TERPADU SISWA KELAS VII SEMESTER GENAP SMP NEGERI 2 METRO TAHUN PELAJARAN 2016/2017

2017 ◽  
Vol 5 (1) ◽  
Author(s):  
Novita Sari ◽  
Wakijo Wakijo
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Learning Outcomes ◽  
School Library ◽  
Sampling Technique ◽  
Regression Formula ◽  
Student Reading ◽  
Complete Study ◽  
Reading Interest

The purpose of this study is to determine the Effect of School Library Utilization and Reading Interest on Student Learning Outcomes Integrated Students Class VII Semester Even SMP Negeri 2 Metro Year Lesson 2016/2017. The population in this study were all students of class VII SMPN 2 Metro, amounting to 240 students and samples taken using cluster random sampling technique (random sample) is the determination of samples with the draw of the class. The selected classes are the VII F class of 30 students. To know whether there is Influence of School Library Utilization and Student Reading Interest on Integrated IPS Learning Outcomes is by multiple linear regression formula.  From the data analysis of the research results using multiple linear regression formula with the calculation result of School Library Utilization of Integrated IPS Learning Outcomes is 0.923 with very close criteria, from Reading Interest to Integrated IPS Learning Outcomes is 0.707 with the criteria closely and R2 from the Effect of School Library Utilization and Interest Read on Integrated IPS Learning Results of 0.878 with very close criteria. Thus it can be concluded that there is Influence of School Library Utilization And Interest Reading To Learning Results Integrated IPS SMP Negeri 2 Metro Lesson Year 2016/2017 classified as very positive. Where students who declared complete study with KKM >75 as many as 22 students or by 87% and students who expressed incomplete learning as many as 8 students or 13%. Thus the hypothesis is accepted when the Library Utilization and Reading Interest is applied then the results of learning IPS Integrated will be better. The results of this study can be used as a reference for better learning. Keywords: Utilization of School Library, Reading Interest, And Learning Outcomes

scholarly journals Forecasting approach for solar power based on weather parameters (Case study: East Kalimantan)

2021 ◽  
Vol 2106 (1) ◽  
pp. 012022
Author(s):  
P Hasanah ◽  
S A Wiradinata ◽  
M Azka
Keyword(s):  
Linear Regression ◽  
Solar Energy ◽  
Multiple Linear Regression ◽  
Solar Power ◽  
Weather Data ◽  
Climate Data ◽  
Energy Forecasting ◽  
Tropical Country ◽  
East Kalimantan ◽  
Weather Parameters

Abstract Solar Energy is the most popular among several clean energies. As a tropical country, Indonesia has big opportunity to develop solar power, particularly in East Kalimantan which spans around the equator. Solar energy generation, however, is influenced by weather parameters which give uncertain values of the amount of the captured energy. Therefore, this research is conducted to overcome the effect of weather towards solar energy. The aim of this research is to examine the model for sun power forecasting based on the data. The Artificial Neural Network (ANN) and Multiple Linear Regression have taken as the approach models to determine energy forecasting. This study used five input variables; temperature, precipitation level, humidity, wind speed, and surface pressure, while the solar radiation was taken as the output variable. Moreover, the daily solar power and weather data from East Kalimantan has been taken along the period of 27th July 2018 – 28th July 2021. The result of this study showed that the RMSE of ANN was slightly similar with the multiple linear regression methods which were calculated by 160.26 and 160.46 respectively. However, the ANN is preferable to use in the solar energy forecasting since the tendency of nonlinearity of the climate data.

scholarly journals The Influence of School Leadership Style and Teacher’s Motivation toward Teacher’s Performance

2021 ◽  
Vol 2 (1) ◽  
pp. 1-10
Author(s):  
Firman Firman ◽  
Happy Fitria ◽  
Rohana Rohana
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
School Leadership ◽  
Leadership Style ◽  
Sampled Data ◽  
Simple Linear Regression ◽  
Regression Formula ◽  
Research Population ◽  
The Impact ◽  
Quantitative Approaches

The purpose of this study investigated 1) the impact of the Principal's leadership style on results, 2) the effect of motivating teachers on performance, and 3) the effect of the Principal's leadership style and motivation on performance. This research is based on quantitative approaches. The population used all teachers in SMAN 1 and SMKN 1 Rambutan, Banyuasin Regency, South Sumatra Province as samples. Since the research population has only 77 populations and all of them are sampled. Data was analyzed using a simple linear regression formula and multiple linear regression From the results of the study, it can be concluded that (1) the influence of the principal's leadership style on the performance of the SMA-SMK Negeri in the Rambutan Banyuasin district, (2) the influence of the motivation of the teacher on the performance of the SMA-SMK Negeri in the Rambutan Banyuasin district, and (3) the influence of the leadership style of the principal and the motivation of the teacher together.

Pengaruh Motivasi Kerja Terhadap Kinerja Pegawai Kantor Sekretariat Daerah Kabupaten Gunungkidul

2017 ◽  
Vol 23 (2) ◽  
pp. 121-137
Author(s):  
Ary Sutrischastini ◽  
Agus Riyanto
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Sampling Method ◽  
Work Motivation ◽  
Probability Sampling ◽  
Random Probability

This paper will discuss the effect of work motivation (incentives, motives and expectations) on the performance of the staff of the Regional Secretariat Gunungkidul. The purpose of this paper is: 1) Determine the effect of incentives on the performance of the staff of the Regional Secretariat Gunungkidul, 2) Determine the effect of motive on the performance of the staff of the Regional Secretariat Gunungkidul, 3) To know the effect of expectations on the performance of the staff of the Regional Secretariat Gunungkidul, 4)To know the effect of incentives, motives and expectations on the performance of the staff of the Regional Secretariat Gunungkidul.Research sites in the Regional Secretariat Gunungkidul and the population is 162entire employee in the Regional Secretariat Gunungkidul. Samples amounted to 116 respondents taken with simple random probability sampling method. Data were analyzed using multiple linear regression. Results obtained: (1) incentives positive and significant effect on the performance of, (2) motif positive and significant effect on the performance of, (3) expectations positive and significant impact on the performance of , and (4) incentives, motives and expectations of positive and significant impact on the performance of the staff of the Regional Secretariat Gunungkidul.

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