<span>Marginal pruduct of first worker is 3 yards. Marginal product of second worker is 4 yards. Marginal product of third worker is 5 yards.The marginal product of labor potentially increases due to specialization.</span>
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
Answer:
True
Explanation:
In monetary economics, the demand for money is the total amount of the asset an individual prefer to keep in liquid or near liquid forms rather than investment. Some of the factors that influences the demand for money are interest rate, inflation, income, e.t.c.
John Maynard Keynes postulated that the demand for money falls within the realms of liquidity preference, which he summarized under three headings, these are, the transactions motives, the precautionary motives, and the speculative motives.