Question
A store is offering a sale on several brands for last year’s model of smartwatch. The price for each brand of smartwatch will decrease by 5% each week until all the smartwatches are sold. You want to create a model to predict how long it will take for a smartwatch to reach your target price. Which model best fits this data?(1 point)
Responses
an exponential model
an exponential model
a quadratic model
a quadratic model
a linear model
a linear model
no model
Responses
an exponential model
an exponential model
a quadratic model
a quadratic model
a linear model
a linear model
no model
Answers
GPT-4o mini
The best model to fit the data described, where the price of the smartwatch decreases by a fixed percentage (5%) each week, is **an exponential model**.
In this scenario, the price will decrease by multiplying the current price by (1 - 0.05) = 0.95 each week. This type of decay can be represented mathematically as an exponential decay function, which indicates that the rate of decrease is proportional to the current value.
So, the correct response is **an exponential model**.
In this scenario, the price will decrease by multiplying the current price by (1 - 0.05) = 0.95 each week. This type of decay can be represented mathematically as an exponential decay function, which indicates that the rate of decrease is proportional to the current value.
So, the correct response is **an exponential model**.