A jet ski depreciates at 11% of its original value each year. If the jet ski was 8,000at its time of purchase,what is the value of the jetski after 5years?A.13,480.47 B. 7,120.00C.6,958.86 D. $4,467.25

Answer: Choice B

Explanation:

Let's convert the raw score x = 36.6 to its corresponding z score.

z = (x-mu)/sigma

z = (36.6 - 37)/(0.2)

z = -2

Note that mu and sigma represent the mean and standard deviation respectively. The score z = -2 means we're 2 standard deviations below the mean.

Following those similar steps, you should find that x = 37.4 leads to z = 2.

The temperatures we're focused are on the interval , i.e. the z values are between -2 and 2 inclusive.

Therefore, the range of temperatures are within 2 standard deviations of the mean.

Visually, we'll go for choice B since this shows the lower two sections shaded (ie the panels to the left of the center) and also the upper two sections shaded. According to the Empirical Rule, this accounts for roughly 95% of the normal distribution.

Answer:

i think it’s y = -3/4

Step-by-step explanation:

The quadraticequation is 4x² - 20x - 24 = 0 whose roots are-1 and 6.

What is a quadratic equation?

The quadratic equation is defined as a function containing the highest power of a variable is two.

The roots are given in the question, as follows:

-1 and 6

As we know that the standard quadratic equation ax² + b x + c = 0.

Since the leading coefficient of the quadratic equation is 4

So, a = 4

The sum of roots = -b/a

-1 + 6 = -b/4

5 = -b/4

b = -20

The multiplication of roots = c/a

-1 × 6 = c/4

c = -24

So, the quadratic equation is 4x² - 20x - 24 = 0.

Learn more about quadratic function here:

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You've got a=4

-b/a=sum=-1+6=5 so b=-20

c/a=product=-1*6=-6 so c=-6

Final equation:

Answer-

Exponential regression line is the best fit for the data.

Solution-

Taking

x = input variable,

y = output variable.

Taking the data from the table, regression models were generated using Excel.

As shown in the attachments, the co-efficient of determination (R²) is maximum for Exponential Regression model or more closer to 1.

As,

The more closer the value of R² to 1, the better the regression model and the best fit line is.

In general also, when we consider growth or decay, we follow the exponential function approach.

Therefore, the exponential regression models should be followed and so exponential regression line is the best fit for the data.

Answer:

20

Step-by-step explanation:

Answer:

∠TRS and ∠VRW equal because they are opposed by the vertex

x+40 = 3x

x-3x=-40

-2x=-40

x= 40/2 = 20°

∠TRS = x+40 =20+40=60°

∠VRW = 3x= 20*3 =60°

Step-by-step explanation: