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yulyashka [42]
3 years ago
8

6 cm equals how many mm?​

Mathematics
1 answer:
olga nikolaevna [1]3 years ago
7 0

Answer:

it's 60 mm

Step-by-step explanation:

hope this is useful! have a wonderful day and God Bless you !!!

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Answer:

625

Step-by-step explanation:

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Last week, the price of apples at a grocery store was $1.60 per pound. This week, apples at the same grocery store are on sale a
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2 years ago
the circular ripple caused by dropping a stone in a pond is increasing in area at a constant rate of 20 square meters per second
mojhsa [17]

Answer:

  2/π ≈ 0.637 m/s

Step-by-step explanation:

The rate of change of area with respect to time is ...

  A = πr²

  dA/dt = 2πr·dr/dt

Filling in given values in the above equations, we can find r and dr/dt.

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The radius is increasing at the rate of 2/π ≈ 0.637 meters per second.

4 0
3 years ago
Pls help will mark brainliest.
Semenov [28]

Answer:

C

Step-by-step explanation:

8 0
2 years ago
Read 2 more answers
Can someone please help me please I will give brainliest and please dont google
lana [24]

Answer:

Step-by-step explanation:

Correlation occurs when we can observe a trend between the response/dependent variable (y) and the explanatory/independent variable (x).  

When comparing two sets of data, we may observe and use correlation to determine whether or not the data presented if significant or not and whether or not it supports our hypothesis. We may want to see if this is just a fluke and whether or not the trend causes causation.

An example of this would be if we thought that the weight of female mice determines how many kids they have in a month.. Let's say that mice that weigh up to one ounce have 6 baby mice per month.

Let's say that the x variable is the weight which is between 0.25 oz and 1.25 oz and the y-variable is the amount of kids between each month. If another laboratory conducts the same study with the same type of mice with the same weights as us, we would need to determine if there is correlation and if there is causation and try to use this information to determine if both sets of data are significant to our hypothesis.

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3 years ago
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