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What condition must exist to make a demand curve accurate?

The condition is that the demand curve can only be accurate as long as there are no changes other than price that could affect the consumer's decision. In other words, a demand curve is accurate only as long as the ceteris paribus assumption is true. - You're WelCUM


What are the key components of a derivative model and how do they contribute to the accuracy and reliability of the model?

A derivative model consists of key components such as underlying asset price, time to maturity, volatility, interest rates, and dividend yield. These components help in predicting the future value of the derivative by considering various market factors. By incorporating these components accurately, the model can provide more reliable and accurate predictions of the derivative's value, helping investors make informed decisions.


What are the limits of demand curve?

Demand curve is only Accurate for one very specific set of market condition.


What is key in successful decision making?

A key to successful decision making is information gathering. With accurate and helpful information, one is in a better position to make correct decisions.


What is the value of a 1985 quarter worth?

The value of a 1985 quarter is typically just 25 cents if it's in circulated condition. However, if it's in uncirculated or proof condition, it may be worth slightly more to collectors, generally around a few dollars. The value can fluctuate based on demand and the coin's condition, so checking current market prices or consulting a coin dealer can provide a more accurate assessment.

Related Questions

How do you use the word accurate in a sentence?

This answer is accurate because it answers the question correctly.That sentence is not very accurate.


How often is Oddsshark right in predicting sports outcomes?

Oddsshark's accuracy in predicting sports outcomes can vary, but they are generally considered to be reliable and accurate in their predictions.


How accurate were the Mayan calendars in predicting astronomical events and important dates?

The Mayan calendars were highly accurate in predicting astronomical events and important dates. They were able to accurately track celestial movements and align them with significant events in their culture.


Use accurate in a sentence?

Sure! Here's a sentence using the word "accurate": "The weather forecast was accurate, predicting the rain exactly when it started." Would you like more examples in different contexts?


How accurate is Oddsshark in predicting sports outcomes?

Oddsshark is generally considered to be accurate in predicting sports outcomes, as they use a combination of expert analysis and historical data to make their predictions. However, it is important to remember that sports outcomes are inherently unpredictable, so there is always a level of uncertainty involved.


Is the instrument for predicting earthquake already invented?

Yes, it is called the pusometer. It detects when and where an earthquake will strike, it is quite accurate.


How accurate are wind forecasts in predicting weather patterns?

Wind forecasts are generally accurate in predicting weather patterns, but their accuracy can vary depending on the specific location and time frame being forecasted. Overall, advancements in technology and modeling techniques have improved the accuracy of wind forecasts in recent years.


How accurate were the Maya calendars in predicting astronomical events and important dates?

The Maya calendars were highly accurate in predicting astronomical events and important dates. They were able to track celestial movements with precision and align their calendars with astronomical cycles. This allowed them to predict events such as solstices, equinoxes, and eclipses with great accuracy.


What are facts about a consumer's right to be informed?

Consumers have the right to receive accurate information about products and services, including ingredients, safety risks, and pricing. They should be informed of their rights and warranties, as well as have access to clear and understandable terms and conditions. Informed consumers are empowered to make confident purchasing decisions and hold businesses accountable for providing transparent and truthful information.


What are predicting variables?

Predicting variables are variables used in statistical and machine learning models to predict an outcome or target variable. These variables are used to forecast or estimate the value of the target variable based on their relationships and patterns in the data. Selecting relevant predicting variables is important for building accurate and effective predictive models.


How accurate are breathlayzer tests?

Depends on the machine. The ones used by police are very accurate, while the ones sold to consumers can be a bit so-so.


What is the significance of the keyword "not a and b" in the context of the problem at hand?

The keyword "not a and b" is important because it indicates a condition where both statements a and b are false. This helps in narrowing down possibilities and making accurate decisions in the problem being addressed.