Answer:
d. Yes, the offeror must be a merchant, pursuant to the UCC definition of merchant.
Explanation:
The Uniform Commercial Code (UCC) establishes that firm offers can only be made by merchants. They also apply only to the sale of goods, but the baseball card is a type of good.
The problem is that Debbie is not probably a merchant. In order for her to be considered a merchant, she would need to be in the business of buying and selling baseball cards on a regular basis.
1) You can get to know what career suits you the most
2) Know about the relevant options you can go for
3) Know what career suits your qualifications
4) Benefits and pros and cons
The use of the <u>internet </u>allows bank customers the ability to complete most transactions electronically without leaving home.
<h3>What is Internet?</h3>
Internet help to transmit data or information across a network, making it possible for internet user to communicate and exchange information.
Example of internet are:
- WAN which full meaning is Wide Area Network.
- LAN which full meaning is Local Area Network.
Hence, internet play an important function as it make it possible for bank customers to complete their transactions electronically or to carryout their transaction online without having to leave their various homes.
Learn more about internet here:brainly.com/question/2780939
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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
