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mr_godi [17]
2 years ago
4

An initial investment of 3000 doubles in value in 8.3 years. Assuming continuous compounding, what was the interest rate?

Mathematics
1 answer:
TiliK225 [7]2 years ago
8 0
To solve this we are going to use the continuous compounding interest formula:
A=Pe^{rt}
where:
A is the amount after t years.
P is the initial investment.
e is the Euler's constant.
r is the interest rate.

Since we know from our problem that the investment of 3000 doubles in value in 8.3 years, A=2(3000)=6000. We also know that P=3000 and t=8.3, so lets replace those values in our equation:
A=Pe^{8.3r}
6000=3000e^{rt}
Notice that thing we are trying to find, r, is in the exponent; therefore, we must use logarithms to bring it down:
\frac{6000}{3000} =e^{8.3r}
2=e^{8.3r}
e^{8.3r}=2
ln(e^{8.3r})=ln(2)
8.3r=ln(2)
r= \frac{ln(2)}{8.3}
r=0.084
The only thing left now is multiplying our rate by 100% to express it as a percentage:
(0.084)(100)=8.4%

We can conclude that the <span>continuous compounding</span> interest rate needed to double $3000 in 8.3 years is approximately 8.4%.
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Answer:

3.5 cm

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6x-1=4x+6

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2x=7

x=7÷2

x=3.5

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2 years ago
What is the maximum percent of net spendable income that should be set aside for housing
stepladder [879]

Answer:

Answer;


-38 %

Step-by-step explanation:

Explanation;


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7 0
2 years ago
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Noelle stands at the edge of a cliff and drops a rock. The height of the rock is given by the function f(x)-4.9x2 + 15, where c
Oxana [17]
A graphing calculator shows the rocks are at the same height 1.5 seconds after they are released.

That height is 3.975 meters.

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f(x) = g(x)
-4.9x^2 +15 = -4.9x^2 +10x
15 = 10x . . . . . . . . . . . . . . . . . . add 4.9x^2
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2 years ago
Can we predict how fast a tennis player can hit a serve from the playerâs height? The following computer output and scatterplot
olga_2 [115]

Complete question :

The computer output and scatter plot output pertaining to the question can be found in the attached picture.

Answer:

Kindly check explanation

Step-by-step explanation:

A.) Relationship between height and fastest serve speed :

According to the scatterplot and Correlation Coefficient (R) value which can be obtauned by getting the square root of R²

R = √27.7%

R = 0.5263 = 52.63% ; this depicts a fairly strong positive correlation or relationship between height and fastest serve speed

B.)

Equation of least square regression line :

From the computer output and scatter plot above :

Recall :

y = mx + c

y =predicted variable (s fastest serve)

m= slope

x = predictor variable (height)

c = intercept

y = 84.98x + 68.81

C.) 27.7% of the variation in fastest speed can be explained by height while the remaining percentage is due to other variables

D.) fastest serve of tennis player with height 1.7m

y = 84.98x + 68.81

y = 84.98(1.7) + 68.81

y = 213.276km/hr

E.)

R = √27.7%

R = 0.5263 = 52.63% ; this depicts a fairly strong positive correlation or relationship between height and fastest serve speed

F.)

Height = 2.06m = x

y = 84.98(2.06) + 68.81

y = 243.8688 km/hr

Residual = Actual - predicted

Actual = 230 ; predicted = 243.8688

Residual = 230 - 243.8688

Residual = −13.8688

Hence, the model overestimated fastest serve speed of a 2.06 m tall player by −13.8688 km/hr

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Advocard [28]

Answer:

7.95 divided by 5 times 16 so 7.95 divided by 80= so about 10 cents

Step-by-step explanation:

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