since the last tank fill up‚ the number of people living in the home‚ and a home index that measures the energy efficiency of the homes. The results of the linear regression models that were tested showed that degree days and the home index were significant predictors of heating oil usage. Based on the results of the linear regression analysis‚ a forecast was created to predict the amount of heating oil customers would use based on an average home index. Problem Description Dupree Fuels Company
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ECONOMETRIC ANALYSIS. INDEX: - Introduction..................................................................................3 -Background....................................................................................8 -Empirical Analysis.........................................................................9 -Conclusion.....................................................................................31 -Bibliography.............................................................
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Analysis and Findings This chapter presents a description of the sample and analysis results based on the questionnaire distributed to liable officers from the civil service of Mauritius. It provides an investigation of the impact of a strategic dimension to the management of the human resource on organizational effectiveness in the civil service. The data was organized and evaluated with the SPSS (Statistical Package of Social Sciences) software version 16.0 and for the evaluation; descriptive statistics
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quantitative techniques in the decision making process have proven to assist users in improving the process by quickly delivering tools and other useful information used by organizations and have resulted in more economical decisions. “Quantitative analysis has been in existence since the beginning of recorded history‚ but it was Frederick W. Taylor who in the 1900’s pioneered the principles of the scientific approach to management”. (Render‚ Stair & Hanna‚ 2009) The use and success of quantitative
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LESSON PLAN– Quantitative Analysis ------------------------------------------------- Class: DipCOM5 A & B (by Mr Caleb Tan) ------------------------------------------------- Assessments Dates: 1. Quiz in Lesson 6 (Chap 1-4‚ 20%): 14 May 2012 2. Assignment due on Lesson 9 (30%): 21 May 2012 3. Exam (50%): To be advised by Kaplan Lesson | Topic | Chapter | | Lesson 1 | The Nature of Statistics1.1 Statistics basics1.2 Simple random sampling1.3 Other sampling designs
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increase or decrease as a result of an economic expansion or contraction. 3. Specify the components of a regression model that can be used to estimate a demand equation. 4. Interpret the regression results (i.e.‚ explain the quantitative impact that changes in the determinants have on the quantity demanded). 5. Explain the meaning of R2. 6. Evaluate the statistical significance of the regression coefficients using the t-test and the statistical significance of R2 using the F-test. Introduction: An
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Essay 3 This essay provides an analysis of the variables‚ statistical tests and methods used in the assigned research paper. The level of significance and the strengths and limitations of the data collection process were also reviewed. This study had several variables. One major independent variable is the qualitative questionnaire that was verbally given. In this scenario the dependent variable would be the measurement of the data that was collected. The process of a cause-effect relationship
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Analysis of Loan data and relationship with various factors Introduction As we all know the history of loans as old as the history of money. Earlier there used to be different mechanism of lending money and recovering it. In simple terms it was the process in which the people who have more money than they required used to give money to people who didn’t had enough. Over the years with the evolution of economics the loan process became extremely important for the people who made business out of
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cost of trucks and a variable component of fuel expense. Since mixed cost figures are not useful in their raw form‚ therefore they are split into their fixed and variable components by using cost behavior analysis techniques such as High-Low Method‚ Scatter Diagram Method and Regression Analysis. Cost Volume Formula Cost volume formula is a cost accounting relation used to estimate production cost of a given
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IMPACT OF COASTAL SALINITY INGRESSION AND ASSESSMENT OF HTL INGRESSION AND REGRESSION OVER A DECADE IN THE BHAVNAGAR TALUKA : A GIS BASED VULNERABILITY ASSESSMENT ABSTRACT Climate change can have many impacts upon human societies. The impacts will vary from region to region. These impacts include sea-level rise‚ melting of mountain glaciers‚ floods‚ droughts‚ changes in storm intensities‚ changes in biological variables that have impacts upon human societies. This paper is however concerned
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