Answer:
Explanation:
Overhead allocation:
Unit level = $35,960/5800 * 480 = 2,976
Batch level = 13,052/260 * 27 = 1355.4
Product level = 3,988*40% = 1595.2
Facility level = 45,600/38,000 * 12,000 = 14,400
Total overhead allocated 20,326.6
Answer:
linear regression
Explanation:
Linear regression quantifies the relationship between one or more predictor variable(s) and one outcome variable. Linear regression is commonly used for predictive analysis and modeling. For example, it can be used to quantify the relative impacts of age, gender, and diet (the predictor variables) on height (the outcome variable). Linear regression is also known as multiple regression, multivariate regression, ordinary least squares (OLS), and regression. This post will show you examples of linear regression, including an example of simple linear regression and an example of multiple linear regression.
HOPE IT'S HEIP YOU
Answer:
Consider the following analysis.
Explanation:
The manager's assumption is that the employee work only for their own benefits and they need immediate punishment for poor work, intermediation, and minute-level supervision. This proves that he uses Theory X.
The upper management, on the other hand, is trying to initiate consultation with the employees before bringing out any improvement plan in the business process. This type of management style implicitly assumes that the employees are motivated and self-directed. This is Theory Y.
So, the first option should be correct.
Equity theory is something not contextual here. Equity theory works on the reduction of perceived inequality in the input and output of the employees as a means of motivation.
Inflation.
stagnation means to stay still, which it didn't. depression was before the 80's, our unemployment rate shouldn't really effect prices that drastically.
Answer:
The question is: "What is the maximum initial cost the company would be willing to pay for the project?"
The maximum initial investment cost the company would be willing to pay for the project is $18,817,204.
Explanation:
We have D/E = 0.8 => D/ (D+E) = 4/9; E/(D+E) = 5/9.
WACC of the firm = 4/9 x 4.3% + 5/9 x 11.5% = 8.3%.
Adjustment for cost capital due to higher risk of the project: 8.3% + 3% = 11.3%.
=> Maximum initial investment cost is equal to the net present value of the cash saving the project brings about discounting at project's cost of capital, calculated as:
1,750,000/ (11.3% - 2%) = $18,817,204.
Thus, the Maximum initial investment cost is $18,817,204.