Coefficient

been essentially automated. Law enforcement officers carry weapons connected to a computer network that analyzes each suspect they encounter and determine the culpability of that suspect. The weapon then quantifies their guilt--assigning a Crime Coefficient--and deploys the punishment deemed appropriate. No judge, no jury, only an objective computer system to handle all the dirty work of the legal system. Is this kind of system as perfect in practice as it sounds? Welcome to 22nd-century Tokyo,…

Units of Enumeration These are units which data is collected in terms production of cloth - meters, weight-tons, time - hours. Units of collection and Enumeration are of three types. a) Single units : it represents single determining characteristic such as miles, tons etc b) Compound units : it represents combination of two or more simple units, which represents more than one determining characteristics, such as passenger - kilometres, tons - kilometres, c) Hypothetical units : These units are…

Correlations between environment and good equipment. Correlations Environment Good Equipment Spearman's rho A clean and ventilated work environment increases your level of satisfaction Correlation Coefficient 1.000 .189* Sig. (2-tailed) . .013 N 170 170 Good equipment motivate you to work Correlation Coefficient .189* 1.000 Sig. (2-tailed) .013 . N 170 170 *. Correlation is significant at the 0.05 level (2-tailed). Table 4 indicates that there is a moderate correlation, hence, a…

unobserved heterogeneity effects, respectively; and uit is the disturbance term. Understanding the Gini coefficient :- The Gini index or Gini coefficient is a statistical measure of distribution developed by the Italian statistician Corrado Gini in 1912. It is often used as a gauge of economic inequality, measuring income distribution or, less commonly, wealth distribution among a population. The coefficient ranges from 0 (or 0%) to 1 (or 100%), with 0 representing perfect equality and 1…

Rosseland Radiation Model The Rosseland Model (Diffusion approximation model) is applicable when the medium is optically thick i.e. the optical thickness is much greater than 1 where a is the absorption coefficient of the medium, σ is the scattering coefficient of the medium and L is the average path length. The radiative heat flux is approximated as [3], (2.13) where qr is the radiative heat flux, Γ is the radiative diffusivity and G is the incident radiation. In contrast to the P-1 model…

x_1 has a coefficient of 1.48505. Holding all else constant, every 1-mark increase in quiz results should increase exam results by 1.5. The p-value of 1x10-16 means that quiz results are significant to exam results at 5% significance. This is logical and consistent with research as periodic testing of unit content should improve students’ understanding. x_2 has a coefficient of 0.98494. If 6-10 lectures are attended, exam result would increase…

speaking, these variables sparked our interest because it is intriguing to think about how the levels of stress from having kids and working could potentially influence someone to purchase alcohol. Initially when we ran our regression model the coefficient for the percent of working women with children was -2,531. This means that as the percentage of women working with children increases by 1, the weekly sales volume decreases by 2,531. Even though this was not a significant variable in our…

zero. The AR(1) coefficient is significant at 10% with estimate of 0.31523, interpreted as a correlation of the current period GDP with the previous period as shown in equation 1.1. Moreover, shocks to highly correlated data will propagate and take more time to neutralize. Looking at figure 1.a we see that after the Q4 2008 shock, the GDP level takes several quarters to recover the trend it previously had. The MA (1) coefficient is not significant at 10% as well as the MA (2) coefficient. As a…

4 The Simplex Method As we have seen, a linear programming problem forms a convex polygon in the best possible scenario. It is imperative to obtain a process that would assist in determining the optimal solution without the need to examine the graphical representation. The need for an algorithm that would perform such process was essential in the early days of the formulations of linear programming problems. Although challenging, the task was accomplished by a mathematician of the twentieth…

has a stronger relationship to dividends than future growth? If not, what would you need to know to conclude which variable has a stronger relationship to the P E ratio? Briefly explain. The correlation coefficient between X and Y: r = β x (SD of X divided by SD of Y) β is the regression coefficient, SD X (independent variable) and SD Y (dependent…