9. the table below shows the value of a car over time that was purchased for $20,600, where x is years and y…

9. the table below shows the value of a car over time that was purchased for $20,600, where x is years and y is the value of the car in dollars. years (x) value in dollars (y) 0 20600 1 17884 2 15538 3 14175 4 12785 write an exponential regression equation for this set of data, rounding all coefficients to the nearest hundredth. then use your equation to determine the value of the car, to the nearest dollar after 15 years. exponential regression equation: - choose the correct answer - value of the car after 15 years: - choose the correct answer - y = 20353.3 (.89)^x y =.89 (20353.3)^x y = 20600 (1.15)^x clear all

9. the table below shows the value of a car over time that was purchased for $20,600, where x is years and y is the value of the car in dollars. years (x) value in dollars (y) 0 20600 1 17884 2 15538 3 14175 4 12785 write an exponential regression equation for this set of data, rounding all coefficients to the nearest hundredth. then use your equation to determine the value of the car, to the nearest dollar after 15 years. exponential regression equation: - choose the correct answer - value of the car after 15 years: - choose the correct answer - y = 20353.3 (.89)^x y =.89 (20353.3)^x y = 20600 (1.15)^x clear all

Answer

Explanation:

Step1: Recall exponential regression form

The general form of an exponential - regression equation is $y = ab^{x}$, where $a$ is the initial value and $b$ is the growth/decay factor. When $x = 0$, $y=a$. From the table, when $x = 0$, $y = 20600$. As the value of the car is decreasing over time, $b<1$.

Step2: Calculate the decay factor

We know that when $x = 1$, $y=17884$. Substitute $a = 20600$, $x = 1$, and $y = 17884$ into $y=ab^{x}$. So, $17884=20600\times b^{1}$. Then $b=\frac{17884}{20600}=0.87$. But we can also use a more general approach. Let's assume the equation $y = ab^{x}$. Using a calculator with regression capabilities (or software like Excel, Python's numpy and scipy), we find that the exponential - regression equation for the given data is $y = 20353.3\times(0.89)^{x}$.

Step3: Find the value of the car after 15 years

Substitute $x = 15$ into the equation $y = 20353.3\times(0.89)^{x}$. $y=20353.3\times(0.89)^{15}$ First, calculate $(0.89)^{15}\approx0.188$. Then, $y = 20353.3\times0.188\approx3826$.

Answer:

Exponential regression equation: $y = 20353.3\times(0.89)^{x}$ Value of the car after 15 years: $3826$