Answer:
The level at which an individual is viewed by society is called Social Status. ... It is the measure of worth or the position that the 'person holds in society'.
Explanation:
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The percentage of the disposable income that is discretionary is equal to 30.82% if the amount left after fixed expenses is $900.
As the amount left after payment of the fixed expenses is $900, this is said to be the discretionary income because discretionary income is equal to the disposable income minus fixed expenses.
Now we can calculate the percentage of disposable income that is discretionary as follows;
percentage of disposable income that is discretionary = (discretionary income ÷ disposable income) × 100
% discretionary income = (900 ÷ 2,920) × 100
% discretionary income = 90,000 ÷ 2,920
% discretionary income = 30.82%
Hence, 30.82% of the disposable income is calculated to be discretionary if the disposable income is $2,920 and the amount left after payment of fixed expenses is $900.
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Answer:
In economics, nominal value refers to the current monetary value and does not adjust for the effects of inflation
Explanation:
Answer:
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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
