Debate Essay Example | Topics and Well Written Essays - 500 words - 5

Debate - Essay Example One of the hardest parts is to give the bad news to an employee who is not receiving an increment. In order to effectively deal with these managers should be taken through train by undertaking role-playing exercises to boost their communication skills. However, this can be dealt with by ensuring that the news does not surprise anyone in the company. This can only be achieved by making sure that that organization continually reminds the employees the rise will only be given based on performance and that it is not automatic to all employees. The managers should also frequently communicate the performance of the employees though out the year. In addition, employees need to understand the consequences if they do not perform as expected. This can be included in the employees’ handbook that they are not entitled to a merit increment if they do not meet the expectations. This sends a message that the organization is taking seriously everyone’s performance. Managers should be equipped with adequate skills to communicate to the employees the definition of what good performance is and what unacceptable performance is. They should be able to show the connection that exist between pay increment, performance, and how to deal with the tough questions that may arise from employees who do not receive salary increment. A manager can explore other alternatives in giving the increment. Some employees are promising. Instead of totally denying them the merit increment a manager may consider delaying it to give them a chance to turn around their performance. Another option is to offer lump sum payments in place of a base salary increment. This makes it appear like a bonus instead of a salary rise. it does not affect salary increment or hourly wages. It also stretch merit budgets while at the same time slowing salary growth this should however not be misused. Whether merits has lost its

Multi line regression Statistics Project Example | Topics and Well Written Essays - 1250 words

Multi line regression - Statistics Project Example atly depends on statistics in order to determine how well a country is doing in terms of trading with the relevant partners and in enhancing economic growth. In this task, the chosen dependent variable was the United States of America exports, the dependent variables selected are; oil prices, USA car prices and technological product prices. It is assumed that the selected independent variables have a direct relationship with the dependent variable. For instance, car prices will determine if the exports of the same will be higher, especially when compared to prices of cars from other countries such as Japan. In order to understand how the independent variables impact on the dependent variable, multiple regression analysis is usually utilized. Regression is a statistical analysis that is used to evaluate the association or relationship between continuous dependent and continuous independent variable (Chatterjee & Simonoff, 2013). Usually the regression analysis helps establish a number of issues such as if a relationship exists between variables, the strength of the association, the structure or form of the relationship, as well as help in predicting the values of the dependent variable and controlling for other dependent variables. This makes regression superior to correlation analysis. Ideally, regression coefficients depict the mean, variance or change variables under investigation variable for one unit of change in the predictor variable while holding other predictor variables constant in the same model. With regards to coefficients above, it is evident that when oil prices and technical product prices are held constant, the amount of exports will increase by 6.94, when car prices, and technical product prices are held constant, then exports will increase by 4.27 and lastly, when car prices and oil prices are held constant, exports will reduce by -0.52. R-square value stood at 0.9472. Coefficient of determination adjusted for the degree of freedom denoted as