Linear regression

In this work, we assume two different potentials for the initial and final heavy quarkonia and the intermediary hybrid states. The most popular potential form for the study of heavy quarkonia is the Cornell potential [11] V(r)= -κ/r + b r (2.13) Usually many authors prefer α_s (r) instead of κ. The relation between them is κ=(4α_s (r))/3 and α_s (r) can treated as constant for bb ̅ and cc ̅…

Multiple Regression Analysis Question 1 The overarching objective is to assess the demographic variables that influence the perceptions of faculty members toward the organizational justice. In particular, the demographic variables include the occupation of the faculty members, rank, experience, and size. Various analyses are performed on the data, including descriptive and inferential analysis. Notably, the measures for occupation, rank, and the perceptions of faculty members are categorical…

̂_i=∑_(j=1)^k▒〖w_ij∙y_j 〗. The kriging weights can be calculated by the following linear equations, Where the is a control variable, which is used to make sure that ∑_(j=1)^k▒w_ij =1. V_rs=α+exp⁡(-3/β D(z ⃑_r,z ⃑_s,λ)),r,s=1,2,3,…,k, D_ij=α+exp⁡(-3/β D(x ⃑_i,z ⃑_j,λ)),j=1,2,3,…,k, The D(.) function is the distance function mentioned in the clustering section,α≥0 and β≥0 are two parameters. The above linear equation system has a unique solution because D(z ⃑_r,z ⃑_s,λ)>0 for all r,s=1,2,3…

Part 1 JEDR Critique 1.1. Condition Specifications There is a mistake in the calculation of the assumed wheel circumference. Based on the obtained data from JEDR report, the average wheel diameter is 406 mm and by using the circumference formula, 2πr, the result should be 1.275 m. However, JEDR report says the wheel circumference is 1.2 m. This number should be rounded up to 1.3 m instead of rounded down since this might give critical error in further calculations. The previous wheel…

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…

The general model introduced in Fig.4.10 is commonly used to design stable high-order modulators. If a chain of integrators is used to form the loop filter, two main modulators typologies exist [1, 5, 8]: a cascade of M delaying integrators is used to form the filter, where the feedback and the input signals are being fed to each integrator input with different weight factors a_i and b_i (Fig.4.11). The transfer function of the signal filter, L_0, is: while the feedback filter L_1 can be…

model to 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…

The survey instrument created for this study includes relational questions to discover whether one or more working conditions predicts teacher retention and whether the absence of one or more working conditions predicts the likelihood a teacher will leave teaching or migrate to a new building. The survey contains both Likert-type scaled response ratings and demographic questions designed to identify teacher characteristics such as grade level. There are four constructs in this study: academics…