A bill in <span>the House of Representatives may only be introduced by a representative.
</span>
Answer:A. If a Manager is held responsible for generating revenue, controlling cost and efficiently investing assets, then this division his considered a profit center and an investment center.
Explanation:
Profit is the difference between revenue and the various cost associated with a firm. Each of the element of cost and revenue can be act upon independently but the outcome each of them will have a dependent effect on the profit, invariably the control of the elements of revenue and cost makes it a profit center.
The Independence in the efficient investment of asset which makes the department to determine when, how and where to invest the asset qualified it an investment center.
Solution:
Service cost (from pension expense column) = $89 = ($89) in the PBO column
Interest cost (from pension expense column) = $32 = ($32) in the PBO column
Loss on PBO (given) = ($34)
Retiree benefits (from plan assets column) = ($61) = $61 in the PBO column
Ending PBO = ($670) + (89) + (32) + (34) + 61 = ($886)
Net pension liability = ($886) + 331 = ($555)
Net pension asset of $555.00 was the balance of the net pension asset/liability reported in the balance sheet at the end of the previous year
Answer:
C. can cause hypothesis tests to be unreliable
Explanation:
Omitted variables are those variables that, when left out of a statistical model, for example linear regression, affects the outcome of the model. It either ignores the impact of the omitted variable to the results or it may assign the effect of the omitted variable incorrectly to the effect of the included variable on the statisical model. This of courses results in the model depicting an upward bias or a downward bias. This is referred to as the Omitted Variable Bias (OVB).
Lets take an example. If you were to run multiple regressions to figure out the factors that affect the prices of houses in an area, you would include multiple variables that you deem significant. The variables you would include in the regression model would include the age of the house, the size of the house, the number of rooms and so on and so forth. However, lets assume that some of the houses are located near an industrial waste plant which negatively impact the price of the house. You forget to include thos proximity variable in your model which would likely make your model biased since the proximity to a waste plant would drastically impact the price of a house that is similar in all aspects with a house that is located further away.
Furthermore, the aren't any statistical models that would located omitted variables therefore, in the context of the question, omitted variables can cause hypothesis tests to be unreliable
Answer:
$4,800 each
Explanation:
The computation of the depreciation expense for the first two year under the straight-line method is shown below:
= (Original cost - residual value) ÷ (useful life)
= ($120,000 - $0) ÷ (25 years)
= ($120,000) ÷ (25 years)
= $4,800
In this method, the depreciation is same for all the remaining useful life
Hence, the depreciation of $4,800 is to be charged separately for each year