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Morgarella [4.7K]
3 years ago
9

Ralph is 3 times as old as Sara. In 4 years, Ralph will be only twice as old as Sara will be then. Find Ralph's age now. Ralph's

age is _____.
Mathematics
2 answers:
IgorLugansk [536]3 years ago
7 0
Let
R = Ralph's age
S = Sara's age

First statement is translated as:
S = 3R

Second statement is translated as:
S + 4 = 2(R + 4)

Use the first equation to be substituted into the second one in terms of R which is the one we are actually going to solve for Ralph's age.
Since S = 3R, then
3R + 4 = 2(R + 4)
3R + 4 = 2R + 8
3R - 2R = 8 - 4
R = 4 years old
Y_Kistochka [10]3 years ago
4 0

Answer:  The required present age of Ralph is 12 years.

Step-by-step explanation:  Given that Ralph is 3 times as old as Sara and in 4 years, Ralph will be only twice as old as Sara will be then.

We are to find the present age of Ralph.

Let r and s represents the present ages of Ralph and Sara respectively.

According to the given information, we have

r=3s~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~(i)\\\\r+4=2(s+4)~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~(ii)

Substituting the value of r from equation (i) in equation (ii), we get

3s+4=2(s+4)\\\\\Rightarrow 3s+4=2s+8\\\\\Rightarrow 3s-2s=8-4\\\\\Rightarrow s=4.

Therefore, from equation (i), we get

r=3\times4=12.

Thus, the required present age of Ralph is 12 years.

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son4ous [18]
Answer: 8

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5 0
3 years ago
Read 2 more answers
HELP ASAP Calculate the residuals for your scatterplot in step 2d.
postnew [5]

The residuals of the linear regression equation are -1.36, 0.32, 0.01, 0.62, 0.17, -0.24, 0.89, 0.09, 0.18 and -0.7

<h3>How to determine the residuals?</h3>

The regression equation is given as:

y = 0.141x + 0.842

Next, we calculate the predicted values (y) at the corresponding x values.

So, we have:

y = 0.141 * 13.8 + 0.842 = 2.78

y = 0.141 * 18 + 0.842 = 3.38

y = 0.141 * 16.7 + 0.842 = 3.20

y = 0.141 * 18 + 0.842 = 3.38

y = 0.141 * 0.7 + 0.842 = 0.94

y = 0.141 * 21.9 + 0.842 = 3.93

y = 0.141 * 15.5 + 0.842 = 3.03

y = 0.141 * 9.2 + 0.842 = 2.14

y = 0.141 * 19.5 + 0.842 = 3.59

y = 0.141 * 16.7 + 0.842 = 3.20

The residuals are then calculated using:

Residual = Actual value - Predicted value

So, we have:

Residual = 1.42 - 2.78 = -1.36

Residual = 3.7 - 3.38 = 0.32

Residual = 3.21 - 3.20 = 0.01

Residual = 4 - 3.38 = 0.62

Residual = 1.11 - 0.94 = 0.17

Residual = 3.69 - 3.93 = -0.24

Residual = 3.92 - 3.03 = 0.89

Residual = 2.23 - 2.14 = 0.09

Residual = 3.77 - 3.59 = 0.18

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Hence, the residuals of the linear regression equation are -1.36, 0.32, 0.01, 0.62, 0.17, -0.24, 0.89, 0.09, 0.18 and -0.7

Read more about residuals at:

brainly.com/question/16180255

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6 0
2 years ago
Dan buys a car for £2100.
SVETLANKA909090 [29]

Answer:

£1837.5

Step-by-step explanation:

Given data

Cost of car P=  £2100.

Rate r= 2.2%

Time t= 6 years

Now we want to find the  worth after 6 years, let us apply the compound interest expression but this time for depreciation

A= P(1-r)^t

Substitute

A= 2100(1-0.022)^6

A= 2100*(0.978)^6

A= 2100*0.875

A= £1837.5

Hence the amount of the car after 6 years is £1837.5

8 0
3 years ago
Jerry, an electrician, worked 7 months out of the year. What percent of the year did he work? (Round answer to the nearest hundr
spayn [35]
He works for about 58.33% of the year
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a diagonal of a convex polygon is a line segment whose end points are the consecutive vertices of the polygon.say true or false​
AysviL [449]

Answer:

Step-by-step explanation:

False. Diagonals of a convex polygon is a line segment that joints two non adjacent vertices.

7 0
3 years ago
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