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QveST [7]
1 year ago
6

We found the correlation coefficient for the comparison between height and weight in babies to be -0.12. That meanscorrelation i

s strongthe taller the baby, the heavier the babythe taller the baby, the lighter the babyHeight and weight of babies are independent
Mathematics
1 answer:
qwelly [4]1 year ago
6 0

Answer:

The taller the baby, the lighter the baby

Explanation:

A correlation coefficient is a number between -1 and 1. The correlation is strong when it is a number closer to -1 or closer to 1 and the relation is independent when it is a number closer to 0.

In this case, we get that the correlation coefficient is -0.12, so there is a weak negative correlation. The negative means that when one variable increases, the other decrease, so the taller the baby, the lighter the baby.

Then, the answer is:

The taller the baby, the lighter the baby

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3(x−1) + 7=11 what is x
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Answer:

3(x-1)+7=11

3x-3-7=11

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3x=11+10

x=21/3

x=7

Step-by-step explanation:

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2 years ago
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3 years ago
Max is determined the volume of the triangle pyramid below.
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Step-by-step explanation:

7 0
2 years ago
In the United States, the mean and standard deviation of adult men's heights are 70 inches (5 feet 10 inches) and 4 inches, resp
Artyom0805 [142]

Answer:

P(X>72)=P(\frac{X-\mu}{\sigma}>\frac{72-\mu}{\sigma})=P(Z>\frac{72-70}{4})=P(z>0.5)

And we can find this probability using the complement rule and the normal standard table:

P(z>0.5)=1-P(z

And the best solution would be:

c. 0.3085

Step-by-step explanation:

For this case we can convert all the values to inches in order to standardize the solution:

5ft * \frac{12 in}{1ft}= 60 in

6ft * \frac{12 in}{1ft}= 72 in

Let X the random variable that represent the heights of US mens, and for this case we know the distribution for X is given by:

X \sim N(70,4)  

Where \mu=70 and \sigma=4

We are interested on this probability

P(X>72)

We can use the z score formula given by:

z=\frac{x-\mu}{\sigma}

Using this formula we got:

P(X>72)=P(\frac{X-\mu}{\sigma}>\frac{72-\mu}{\sigma})=P(Z>\frac{72-70}{4})=P(z>0.5)

And we can find this probability using the complement rule and the normal standard table:

P(z>0.5)=1-P(z

And the best solution would be:

c. 0.3085

5 0
3 years ago
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Answer and step-by-step explanation:

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4 litres per 5 minutes means 4/5 litres per 1 min = 0.8 litres per minutes

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4 * 4 = 16 litres per hour

c. 800 kilowatt hours in 2 months

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Hope this helped :3

3 0
3 years ago
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