scholarly journals Factors Controlling Coral Skeletal U/Ca Ratios with Implications for their Use as a Proxy for Past Ocean Conditions

2021 ◽  
Vol 17 (4) ◽  
pp. 3-17
Author(s):  
Emily Patterson ◽  
Spencer Eanes ◽  
Penelope Lancrete ◽  
Anne Gothman ◽  
Paul Roback
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Environmental Variables ◽  
Scleractinian Coral ◽  
Environmental Parameters ◽  
Environmental Data ◽  
Global Ocean ◽  
Regularized Regression ◽  
Concentration Data ◽  
Linear Regressions

Seawater temperature, salinity and carbonate chemistry have been shown to influence the uranium/calcium (U/Ca) ratios of scleractinian coral skeletons. This apparent sensitivity of U/Ca to multiple environmental parameters calls into question whether there is one environmental variable that most strongly controls coral U/Ca, and whether U/Ca can be straightforwardly applied as a paleoenvironmental proxy due to the tendency of environmental variables to covary in space and time. In this study, uranium concentration data from an existing compilation of tropical scleractinian coral U-series measurements is paired with environmental data from the World Ocean Atlas (WOA) and the Global Ocean Data Analysis Project (GLODAP) to examine the sensitivity of coral skeletal U/Ca to multiple seawater properties including temperature, salinity, pH, and saturation state. First, univariate linear regressions and multiple linear regressions were used to compare relationships between uranium and environmental parameters in the dataset with relationships observed in previous studies. Next, principal component analysis and regularized regression were used to identify the most likely predictors of coral U/Ca in order to create a multiple linear regression model. Results indicate that pH, Ω, alkalinity, and temperature are all significant predictors of uranium concentrations in coral. The magnitude and strength of relationships between U/Ca and environmental variables also differ across different genera. Seawater properties with strong correlations and small ranges make interpretation of these results difficult. However, results of these analyses indicate that U/Ca is dependent on multiple environmental parameters and that previously developed univariate regressions may be insufficient to characterize the full range of variables that influence coral [238U]. KEYWORDS: Coral; Paleoceanography; Proxy Calibration; Uranium; Multiple Linear Regression; Regularized Regression; Environmental Change; Oceanographic Databases

Indirect site productivity models for white spruce in Alberta's boreal mixedwood forest

1996 ◽  
Vol 72 (1) ◽  
pp. 73-79 ◽  
Author(s):  
Paul J. Hostin ◽  
Stephen J. Titus
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Populus Tremuloides ◽  
Environmental Parameters ◽  
White Spruce ◽  
Soil Conditions ◽  
Trembling Aspen ◽  
Linear Regression Models ◽  
Site Productivity ◽  
Index Site

Multiple linear regression models are presented for boreal mixed-wood stands that predict white spruce [Picea glauca (Moench) Voss] site productivity as a function of trembling aspen (Populus tremuloides Michx.) productivity. Site productivity was measured using both age-referenced and diameter-referenced site indices. Average tree and stand attributes, and environmental parameters that describe topographic and soil conditions were examined for their suitability as additional independent variables in the two basic productivity models. The inclusion of additional regressors provided substantial increases in the explanation of variance over the models which used the site productivity measures alone. The best age-referenced model yielded an R2 value of 0.794 while the best diameter-referenced model produced an R2 of 0.908. Key words: indicator variables, indirect site productivity estimation, mixedwood, multiple linear regression, site comparisons, site index, site productivity, trembling aspen, white spruce

scholarly journals KORELASI ANTARA LINGKAR DADA, PANJANG BADAN DAN TINGGI GUMBA TERHADAP VOLUME SEMEN DAN KONSENTRASI SPERMATOZOA SAPI MADURA

2020 ◽  
Vol 8 (2) ◽  
pp. 105
Author(s):  
Dilla Aranda Mayola ◽  
Rimayanti Rimayanti ◽  
Sunaryo Hadi Warsito ◽  
Suzanita Utama ◽  
Hana Eliyani ◽  
...  
Keyword(s):  
Regression Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Body Length ◽  
Linear Regression Analysis ◽  
Sperm Concentration ◽  
Multiple Linear Regression Analysis ◽  
Concentration Data ◽  
Semen Volume

The aim of this research was to know the correlation between heart girth, body length, and wither’s height with semen volume and sperm concentration of Madura Bulls. Ten Madura bulls aged three to four years from Madura  were measured. Variables observed were heart girth, body length, wither’s height, semen volume and sperm concentration. Data were analyzed by multiple linear regression analysis. The result of this research showed that there was no correlation between heart girth, body length, and wither’s height with semen volume Y = 25,212 + 0,190 X1+ (-0,131) X2 + 0,136 X3, so as there was no correlation between heart girth, body length and wither’s height with sperm concentration Y = 8739,559 + (-36,663) X1+ (19,714) X2 + 6,2960 X3. And than was no correlation between semen volume and sperm concentration Y = 7,303 + (-0,002) X1.

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.

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.

Faktor-Faktor Yang Mempengaruhi Keputusan Mahasiswa Memilih Program Studi Kebidanan STIKES Muhammadiyah Ciamis Tahun 2016

2018 ◽  
Vol 5 (1) ◽  
pp. 69-82
Author(s):  
Evi Mariana
Keyword(s):  
Data Analysis ◽  
Linear Regression ◽  
Multiple Linear Regression ◽  
Random Sampling ◽  
Sampling Method ◽  
Marketing Mix ◽  
Stratified Random Sampling ◽  
Price Promotion ◽  
F Test ◽  
Physical Evidence

The purpose of this study was to analyze the factors that influence the decisionof the students chose to study in Obstetrics Prodi STIKES Muhammadiyah Ciamis and analyze the factors that most influence the decision of the students chose to study in Obstetrics Prodi STIKES Muhammadiyah Ciamis. Collecting data in this study was conducted using a survey by questionnaire to 114 students by stratified random sampling method. Methods of data analysis using multiple linear regression, F test and test T. The result is a marketing mix that significantly is the product, place, and physical evidence. And that does not affect the marketing mix is price, promotion, place, and processes

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

FAKTOR-FAKTOR YANG MEMPENGARUHI KUALITAS AUDIT

2019 ◽  
Vol 5 (1) ◽  
pp. 50-63
Author(s):  
Heru Heryanto ◽  
Nur Laela ◽  
Riana R Dewi
Keyword(s):  
Linear Regression ◽  
Multiple Linear Regression ◽  
Audit Quality ◽  
Positive Influence ◽  
T Test ◽  
Coefficient Of Determination ◽  
Analysis Tool ◽  
Validity And Reliability ◽  
Test Analysis ◽  
Analysis Technique

This study aims to determine the significance of the influence of competence, independence, professionalism, auditor experience, accountability, and auditor's knowledge of audit quality. This study uses a questionnaire with a population and sample, namely all auditors who work at the Public Accounting Office (KAP) in the Special Region of Yogyakarta and Surakarta. Sampling techniques using Convenience Sampling with a sample of 61 respondents. The data used in this study is a questionnaire using a Likert scale 1 to 5. The data analysis technique used in this study is multiple linear regression using the SPSSprogram for Windows. The analysis tool in this study using validity and reliability, the classical assumption (normality test, multicollinearity, heteroscedasticity test and autocorrelation test) while the data were analyzed using multiple linear regression test, t test, F test and the coefficient of determination (R2).Based on the results of the t-test analysis performed, it shows that there is a positive influence of competence, independence, professionalism, auditor experience, accountability, and auditor's knowledge of audit quality and simultaneously competency, independence, professionalism, auditor experience, accountability, and auditor knowledge variables affect quality audit

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