On a spreadsheet there are two types of variables independent and dependent. Independent variables refer to those that can be changed and their value that is changing. A dependent variable is something that remains the same and the value of it does not change.
Answer:
expensed in the period in which the product is manufactured.
Explanation:
A product can be defined as any physical object or material that typically satisfy and meets the demands, needs or wants of customers. Some examples of a product are mobile phones, television, microphone, microwave oven, bread, pencil, freezer, beverages, soft drinks etc.
Manufacturing costs can be defined as the overall costs associated with the acquisition of resources such as materials and the cost of converting these raw materials into finished goods. Manufacturing costs include direct labor costs, direct materials cost and manufacturing overhead costs.
Generally, a product cost or the cost associated with the manufacturing of a particular product is expensed within the period in which it was manufactured by the firm.
Answer:
B) determining monetary policy AND D) setting reserve requirements.
Explanation:
The Federal Reserve Bank is comprised of 12 regional Federal Reserve Banks that are each responsible for a specific geographic area of the U.S.
The Fed's main duties include <u>conducting national monetary policy, </u>supervising and regulating banks, maintaining financial stability, and providing banking services.
Furthermore, In the United States, the Federal Reserve Board of Governors <u>controls the reserve requirement</u> for member banks.
It doesn't take that long to be honest, I got mine in a week
Answer:
Answer is the one which produces values which compare well with actual values based on a standard measure of error.
Explanation:
Exponential smoothing is one means of preparing short-term sales forecasts on a routine basis. To use exponential smoothing, however, one must decide the proper values for the smoothing constants in the forecasting model. One method for selecting the smoothing constants involves conducting a grid search to evaluate a wide range of possible values.
Exponential smoothing forecasting methods use constants that assign weights to current demand and previous forecasts to arrive at new forecasts. Their values influence the responsiveness of forecasts to actual demand and hence influence forecast error. Considerable effort has focused on finding the appropriate values to use.
One approach is to use smoothing constants that minimize some function of forecast error. Thus, in order to select the right constants for forecasting, different values are tried out on past time series, and the ones that minimize an error function like Mean Absolute Deviation (MAD) or Mean Squared Error (MSE) are the ones used for forecasting
