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zepelin [54]
2 years ago
11

What is the slope of the line on the graph ?

Mathematics
1 answer:
Minchanka [31]2 years ago
5 0

Answer is -2

Step-by step solution:

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A number increased by fifteen is nineteen. A number increased by fifteen is nineteen.
elixir [45]

Answer:

the number is 4

Step-by-step explanation:

we can write this as

x + 15 = 19

now we transpose

x= 19-15

x= 4

5 0
3 years ago
Which of the following points could be the initial point of vector v if it has a magnitude of 10 an the terminal point (-1,5)?
Eddi Din [679]
Let the initial point of the vector be (x,y). Then the magnitude of the vector v can be written as:

|v|= \sqrt{ (-1-x)^{2} + (5-y)^{2} }

The magnitude of vecor v is given to be 10. So we can write:

10= \sqrt{ (-1-x)^{2} + (5-y)^{2} } \\ \\ 100=(-1-x)^{2} + (5-y)^{2}

Now from the given options, we have to check which one satisfies the above equation. That point will be the initial point of the vector. 

The point in option d, satisfies the equation.

100=(-1+7)^{2} +(5+3)^{2}  \\  \\ 
100=36+64 \\  \\ 
100=100

Thus, the answer to this question is option D
7 0
3 years ago
–9.45 + 5.4d + 9.01 = –0.1d + 0.66
bulgar [2K]

Answer:

1.838181818181818

Step-by-step explanation:

5.4d + 0.1d = 0.66 + 9.45

5.5d = 10.11

d = 10.11 / 5.5

d = 1.838181818181818

7 0
3 years ago
Read 2 more answers
BRAINLIEST ASAP! PLEASE HELP ME FAST :)
lozanna [386]

Answer:

The correct answer is A

Step-by-step explanation:

because he coordinates all intersect plan CDI

5 0
3 years ago
Read 2 more answers
Consider the following scenario: Let P(C) = 0.4. Let P(D) = 0.5. Let P(C|D) = 0.6. a. Find P(C AND D). b. Are C and D mutually e
Nataly_w [17]

a. By definition of conditional probability,

P(C | D) = P(C and D) / P(D)  ==>  P(C and D) = 0.3

b. C and D are mutually exclusive if P(C and D) = 0, but this is clearly not the case, so no.

c. C and D are independent if P(C and D) = P(C) P(D). But P(C) P(D) = 0.2 ≠ 0.3, so no.

d. Using the inclusion/exclusion principle, we have

P(C or D) = P(C) + P(D) - P(C and D)  ==>  P(C or D) = 0.6

e. Using the definition of conditional probability again, we have

P(D | C) = P(C and D) / P(C)  ==>  P(D | C) = 0.75

3 0
3 years ago
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