Multi-linear regression models predict the effects of water chemistry on acute lead toxicity to Ceriodaphnia dubia and Pimephales promelas

2011 ◽  
Vol 154 (3) ◽  
pp. 137-145 ◽  
Author(s):  
A.J. Esbaugh ◽  
K.V. Brix ◽  
E.M. Mager ◽  
M. Grosell
Keyword(s):  
Linear Regression ◽  
Water Chemistry ◽  
Regression Models ◽  
Pimephales Promelas ◽  
Lead Toxicity ◽  
Ceriodaphnia Dubia ◽  
Linear Regression Models ◽  
Multi Linear Regression

scholarly journals Multi-linear Regression Models to Predict the Annual Energy Consumption of an Office Building with Different Shapes

2015 ◽  
Vol 118 ◽  
pp. 622-629 ◽  
Author(s):  
Mohammad Mottahedi ◽  
Atefeh Mohammadpour ◽  
Shideh Shams Amiri ◽  
David Riley ◽  
Somayeh Asadi
Keyword(s):  
Energy Consumption ◽  
Linear Regression ◽  
Regression Models ◽  
Office Building ◽  
Linear Regression Models ◽  
Multi Linear Regression ◽  
Different Shapes

FAKTOR DETERMINAN PENYALURAN KREDIT BANK PERSERO

2018 ◽  
Vol 23 (1) ◽  
pp. 60-71
Author(s):  
Wigiyanti Masodah
Keyword(s):  
Interest Rate ◽  
Linear Regression ◽  
Interest Rates ◽  
Regression Models ◽  
Linear Regression Models ◽  
Negative Impacts ◽  
Main Activity ◽  
The Impact ◽  
The Given ◽  
Multiple Linear Regression Models

Offering credit is the main activity of a Bank. There are some considerations when a bank offers credit, that includes Interest Rates, Inflation, and NPL. This study aims to find out the impact of Variable Interest Rates, Inflation variables and NPL variables on credit disbursed. The object in this study is state-owned banks. The method of analysis in this study uses multiple linear regression models. The results of the study have shown that Interest Rates and NPL gave some negative impacts on the given credit. Meanwhile, Inflation variable does not have a significant effect on credit given. Keywords: Interest Rate, Inflation, NPL, offered Credit.

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