Linear B

Objective (v) Seeks to estimates a supply response model for palm oil in Nigeria inclusive of price and non-price factors. In other to estimate the supply response for Nigeria palm oil production, the model of Ayanwale et al, (2011) was used, with slight modification. The supply equation is specified as a function of the production of palm oil, price of palm oil, price of competitive crop (soyabean), harvested area, rainfall in year t (mm) as climate element, interest rate, exchange rate, palm…

“Regression analysis is a very effective quantitative forecasting technique for short-, medium and long-range time horizons and can be easily updated.[i]” A simple linear regression model is a mathematical relationship between two quantitative variables, i.e. X and Y. Y is the variable we seek to predict based on the other variable X, for which we have information. Regression can predict Scanim’s personnel requirements for inbound operators at varying levels of Chrysler auto sales. In…

identify risk factors and the impact to cost flow forecast in construction industry. Henry et al., (2012) in his paper discussed to develop a model to assess the impacts of identified risks to baseline cost flow using regression model. A multiple linear regression model were developed using identified risk factors and the periodic variability measurement. H.Odeyinka et.al. (2013) uses an artificial neural network back propagation algorithm to develop a model to identify the risk factors and…

Introduction to Regression Analysis Student Name Institution Regression analysis has been employed as serious evidence by lawyers and other individuals in the legal field. For instance, in the 1964 Civil Rights Act under Title VII, it was used to prove contract actions damages, biasness with regard to race in litigating death penalties and others. The difference between multiple and simple regression is that for multiple regression, earnings are affected by much more factors in…

influence of the interactional and information justice dimensions is not significant. The coefficient for distributive justice is significant in the model, b = .10, t = 2.24, p < .05. In this case, distributive justice is positively associated with job performance. Similarly, the coefficient for procedural justice is significant in the model, b = .59, t = 14.61, p < .001. Table 3 shows the results of the regression analysis. Table 3 Model Summary for the Regression on the Perceptions…

THEORETICAL FRAMEWORK AND RESEARCH METHODOLOGY In this chapter, the theoretical framework for the study and its methodology are presented here. Basically, it contains the model specification, model estimation techniques and sources and nature of data. The sample periods of the study span from 1980 to 2013. It is a period of 34 years. 3.1 THEORETICAL FRAMEWORK Remittances are income transfers likely to affect wages and employment both at the household and macroeconomics levels. If leisure is…

This topic addressed various problems that arise in the business industry and how to resolve problems through choosing the appropriate forecasting model and techniques for a given situation. One major problem could be determining which forecasting model should a new startup company use when they have insufficient data. Another common problem that is faced by large companies involves separating out critical information from other irrelevant data to generate profitable forecasts. Also, deciding on…

Crystal Methodology Critique, Benefits and limitations Crystal methodology was first bound by Cockburn in 1998. In crystal, the projects are divided according to their size and the criticality of the system being produced (Ramsin & Paige, 2008). Member of the crystal family is marked with a color to show the weight of the methodology, that means the darker the color the heavier the methodology. Crystal recommends choosing the appropriate color of methodology for a project based on its size and…

Problem: Apparatus 1: what is the relationship between height of release and the initial velocity? Apparatus 2: What is the relationship between length of the ball catcher and the final velocity of the system? Additional question: What is the percentage error of the initial velocity calculated using momentum and kinematics? Percentage error between theoretical initial velocity and experimental initial velocity? How much energy is lost? note: the initial velocity calculated using kinematics…

Weight Estimation using AHP In this section weight estimation using AHP is provided, where first dependency matrix is created based on saaty’s scale. Referring to matrix A1, every attribute is compared with others, ex. DT (Distance) first compared with itself so value is 1, then DT is compared with TT (Travel Time) as in this case TT is moderately important than DT is value will be 1/3, when DT is compared with PCU (Traffic Volume), in this case DT is moderately important than…