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Orlov [11]
3 years ago
12

Which graph shows a negative correlation?

Mathematics
1 answer:
ycow [4]3 years ago
3 0
The third one because as x increases, y decreases and all the points are around a single line


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ALG TWO HELP ASAP?
Alexxx [7]

Answer:

Therefore the period of the sinusoidal wave = 3.14.

The amplitude of the function = 2.

Step-by-step explanation:

The period of a sinusiodal wave is given by the length of x axis which covers one full cycle of the wave, which one positive half-cycle and one negative half cycle.

From the graph we can see  that one of the cycles starts at -3.14 / 4 and ends at 3.14 \times 3/4.

Therefore we can sutract the start point value from the end point value to get the period

Therefore period  = (3.14 \times 3/4) - (-3.14 / 4) = (3.14 \times 3/4) + (3.14 / 4) = 3.14

Therefore the period of the sinusoidal wave = 3.14.

The amplitude of the function = 2.

6 0
3 years ago
How good this sunset is ???..like a painting .​
Nonamiya [84]

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4 0
2 years ago
60% is what percent of 235
RUDIKE [14]
I'm assuming that the question is what is 60% of 235 
141 is 60% of 235.
I'm assuming that the question is 235 is 60% of a number.what is the number?
235/0.6
The answer is approximately 391.6

3 0
2 years ago
Solve for the hypotenuse of the triangle in inches the inches are 8 and 6
ANTONII [103]

Answer:

10

Step-by-step explanation:

6^2+8^2=10^2

7 0
2 years ago
Kevin’s family has a history of diabetes. The probability that Kevin would inherit this disease is 0.75. Kevin decides to take a
VladimirAG [237]

Step-by-step Answer:

We will solve the problem as follows:

Let

K=event that Keven has the disease

k=event that Kevin does not have the disease

T=event that test is accurate.

t=event that test is not accurate

We assume the events K and T are independent.

P(K)=0.75

P(k)=1-0.75=0.25

P(T)=0.85

P(t)=1-0.85=0.15

Since we know that the results of the test is negative, it can come from two possible cases:

P(K and t)=P(K)*P(t)=0.75*0.15=0.1125   (Kevin has disease, test inaccurate)

P(k and T)=P(k)*P(T)=0.25*0.85=0.2125  (Kevin does not have disease, test accurate)

Probability of negative result

= P(K and t) + P(k and T) = 0.1125+0.2125 = 0.325

Probability that Kevin does not have disease, given negative test, i.e. test accurate:

= P(k and T) / [P(K and t) + P(k and T)]

= 0.2125 / 0.325

= 0.6538

8 0
2 years ago
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