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Mademuasel [1]
3 years ago
15

Match the equation with its graph -3x+5y=15

Mathematics
2 answers:
pishuonlain [190]3 years ago
7 0
It’s neither cuz it has a positive slope of 3/5
xxTIMURxx [149]3 years ago
7 0

Answer:

The fourth graph.

Step-by-step explanation:

The best way to do this is to first convert the equation to slope-intercept form. Then it is easy to see the slope and y intercept.

-3x  + 5y = 15

5y = 3x + 15

y   =  3/5x  + 3  is slope intercept form.

The slope is 3/5 and the y-intercept is at y = 3.

It is the fourth graph.



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LuckyWell [14K]
Well plug 0 in for x and solve for y and that is the vertex of your expression
7 0
4 years ago
Which of the following is a property of all squares?
Ivanshal [37]

Answer:

Option D) is correct

That is Option D) "The diagonals bisect each other" is correct

Step-by-step explanation:

The property of all squares is

"The diagonals of a square bisect its angles" and it can be written also also as below

"The diagonals bisect each other"

Therefore Option D) is correct

That is Option D) "The diagonals bisect each other" is correct

4 0
4 years ago
B is on line FW. Find the measure of angle CBW.
aliina [53]

Answer:

67+65+x=180

CBW=48 degrees

Step-by-step explanation:

Do you know that a straight line is 180 degrees. I recommend you to actually try on these questions. It will be a slower process if you just post questions on brainly.

7 0
3 years ago
Read 2 more answers
Which system of linear equations represents another pair of parallel lines?
vesna_86 [32]

Answer:

The answer is C. 3x+y=7, 6x+2y=10

Step-by-step explanation:

7 0
3 years ago
Suppose that X has a Poisson distribution with a mean of 64. Approximate the following probabilities. Round the answers to 4 dec
o-na [289]

Answer:

(a) The probability of the event (<em>X</em> > 84) is 0.007.

(b) The probability of the event (<em>X</em> < 64) is 0.483.

Step-by-step explanation:

The random variable <em>X</em> follows a Poisson distribution with parameter <em>λ</em> = 64.

The probability mass function of a Poisson distribution is:

P(X=x)=\frac{e^{-\lambda}\lambda^{x}}{x!};\ x=0, 1, 2, ...

(a)

Compute the probability of the event (<em>X</em> > 84) as follows:

P (X > 84) = 1 - P (X ≤ 84)

                =1-\sum _{x=0}^{x=84}\frac{e^{-64}(64)^{x}}{x!}\\=1-[e^{-64}\sum _{x=0}^{x=84}\frac{(64)^{x}}{x!}]\\=1-[e^{-64}[\frac{(64)^{0}}{0!}+\frac{(64)^{1}}{1!}+\frac{(64)^{2}}{2!}+...+\frac{(64)^{84}}{84!}]]\\=1-0.99308\\=0.00692\\\approx0.007

Thus, the probability of the event (<em>X</em> > 84) is 0.007.

(b)

Compute the probability of the event (<em>X</em> < 64) as follows:

P (X < 64) = P (X = 0) + P (X = 1) + P (X = 2) + ... + P (X = 63)

                =\sum _{x=0}^{x=63}\frac{e^{-64}(64)^{x}}{x!}\\=e^{-64}\sum _{x=0}^{x=63}\frac{(64)^{x}}{x!}\\=e^{-64}[\frac{(64)^{0}}{0!}+\frac{(64)^{1}}{1!}+\frac{(64)^{2}}{2!}+...+\frac{(64)^{63}}{63!}]\\=0.48338\\\approx0.483

Thus, the probability of the event (<em>X</em> < 64) is 0.483.

5 0
3 years ago
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