Variables

show that operating leverage is the accounting notion that explains why the percentage change in a company’s net earnings is usually greater than the corresponding percentage change in its revenue (McDaniel, 1984). If all of a company’s cost were variable, then its earnings would rise and fall by exactly the same percentage as the rise or fall of its revenues. In this case study the accounting concept involved in these calculations is called operating leverage. It is calculated by dividing the…

Introduction Employee engagement is a workplace tactic that brings about the ideal conditions for all associates of an organization to: excel each day, commit to their companies’ goals, and be driven to contribute to the organization’s success. Employee engagement can be measured and can vary from poor to great. Nurturing employee engagement in the workplace can also deepen communication between members of an organization and increase the overall productivity. The purpose of this study is to…

However, this only means that at least one of the variables is significant. Then we need to check which variable is not significant using Anova. Below is the Anovatable for the regression model. ## Analysis of Variance Table anova(rent) ## Analysis of Variance Table ## ## Response: cnt ## Df Sum Sq…

I want to find that unemployment will have the most significant effect on truck sales. Truck sales will fall in times of economic hardships. As variables like change in gas prices rise, I would expect change in truck sales to decrease rapidly. I would also expect truck sales to increase as finance rates…

randomly selected emergency room patients. The variables given to us included: gender: female or male, age: 1-92 years, stayed overnight: yes or no, visits: 1-38 per year, hours: 1-21, money: $98-$3674, and aliment: varies. The data collected was sample data since it is only a portion of the population that is representative. The sample size of this data is n= 120. I wanted to be very specific in my analysis so I choose to look closely into two variables, age and the number of visits per year.…

factors and the observed variables will be examined by Cronbach’s alpha (>.7; Nunnally,…

determination is the amount of variation in the dependent variable that is explained by the independent variables in a regression model. It is important to know the amount of shared variance when interpreting both the significance and the meaningfulness of a correlation coefficient in order to determine whether the predictors are useful in the model. In order to predict how well a student might do in college, a researcher might examine various variables, including SAT scores, age, gender, race,…

3.5 Analytical Methods 3.5.1 Characterization of smallholder apiarists Descriptive statistics were used to determine the mean difference of socio-economic characteristics between the apiarists. The variables considered were; age of household head (measured in years), gender (given by the sex of household head (male=1, female=0), education level of household head (number of years of formal education attained by the household head). Others were: farming experience (measured number of years in…

include an independent variable, dependent variable, random assignment and a definite hypothesis (Weiten, 2013, p. 65).…

coefficients evaluate whether an explanatory variable has a negative or positive impact on criminal recidivism. Based on the AFT model, a coefficient with a negative impact on the survival time makes the event faster while a positive impact seems to prolong the survival time. Therefore, it decelerates the time until the event happens again. In this case the coefficients evaluate the acceleration of deceleration of a criminal on being jailed again. The explanatory variable denoting whether the…