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Vadim26 [7]
3 years ago
10

What is the equation of the line that is parallel to y=−5x−2 that passes through the point (2,−12)?

Mathematics
1 answer:
Sergeu [11.5K]3 years ago
7 0

Answer:

y = -5x - 9

Step-by-step explanation:

y = -5x + b

x = 2 y = -12

-12 = -5*2/-3 + b

b = -9

therefore, y = -5x -9

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The first T-shirt you buy costs $7, and every additional shirt costs only $5. Let f(n) be the total cost of n shirts. F is a seq
Zina [86]

Answer:

f(n) = 2 + 5n. This is an arithmetic sequence.

Step-by-step explanation:

f(1) = 7

f(2) = 7 + 5

f(3) = 7 + 5 + 5 = 7 +10

f(4) = 7 + 5 + 5 + 5 = 7 + 15

In general,

f(n) = 7 + 5(n -1 )

        = 7 + 5n - 5

        = 2 + 5n

We have the sequence 7, 12, 17, 22, 27 …

This is an arithmetic sequence, because it is a sequence of numbers in which the <em>common difference</em> between consecutive terms is 5.

6 0
3 years ago
15 POINT PLZ HELP ILL EVEN GIVE BRAINLEST !!!!!!!!!!!! NO ONE EVER AWNSERS THESE KIND OF QUSTIONS I POST!!!! SO PLZ HELP!!thanks
BARSIC [14]

The formula of a slope:

m=\dfrac{y_2-y_1}{x_2-x_1}

We have the points (2, 5) and (4, 10). Substitute:

m=\dfrac{10-5}{4-2}=\dfrac{5}{2}=2.5

This means that 2.5mm of rain falls every hour

3 0
3 years ago
If x equals 5 what is 72+72+18x+9+18x+9
romanna [79]

Answer:

342

Step-by-step explanation:

x=5

72+72+18(5)+9+18 (5)+9=342

7 0
3 years ago
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

Residual = 2.5 - 3.20 = -0.7

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

#SPJ1

6 0
1 year ago
Help please <br> I took pictures in stead
inn [45]

Answer:

I don't know sorry for no answer

8 0
3 years ago
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