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user100 [1]
2 years ago
6

Guided Practice

Mathematics
1 answer:
zysi [14]2 years ago
4 0

Answer:

D.

πr2(2h)pi r squared left parenthesis 2 h right parenthesis

Step-by-step explanation:

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Which expression is equivalent to 60x^20y^24/30x^10y^12 brainly
Leno4ka [110]
(60/30)(x^20/x^10)(y^24/y^12)
(2)(x^10)(y^12)
2x^10y^12
4 0
3 years ago
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Last year, a small manufacturing company netted a profit of $540,000. The net profit increased this year by 135%. What is the ne
maks197457 [2]
940,000 is your answer
You have to divide 135 from 540,000 and then multiply 100. Which is 400,000.
540,000+400,000=940,000.
If it’s not that, I’m sorry

4 0
3 years ago
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The Table below shows the number of hours ten students spent studying for a test and their svores​
wlad13 [49]

Answer:

Step-by-step explanation:

By using linear regression calculator,

Linear regression equation representing the data set will be,

y = 7.79x + 34.27

Correlation coefficient of the line will be,

R = 0.98

Since, correlation coefficient of the line is (+0.98), relation between the two variables is a strong linear relationship.

That means hours spent studying has the strong relation with test scores obtained.

5 0
2 years ago
Sophia is at home, and has to
slamgirl [31]

Answer:

Sophia should start her homework at 5:55

Step-by-step explanation:

If it takes her 10 minutes to go to school, 30 minutes to do her homework, and 25 minutes to eat dinner, you should add those numbers together to get 65 because then you can subtract 65 minutes from 7:00 so you get the time she needs to start her homework in order to get to school at 7:00. So basically 10+30+25=65 and then 65 minutes subtracted from 7:00 is 5:55.

I hope this helps you :D

7 0
2 years ago
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Smoothing a time series of observations A. is a form of statistical cheating. B. allows statisticians to use less data than woul
DedPeter [7]

Answer:

D. is used to reveal an underlying pattern in the data.

Step-by-step explanation:

Smoothing a time series is achieved when a computer uses some pre-programmed calculation methods to remove noise from large volumes of data. Smoothing helps a user detect patterns in a set of data, thus making it possible to make future predictions. For example, smoothing can be used in the prediction of the rise and fall of stock prices. This helps the traders to have an idea of what to expect in the cost of trading.

Although smoothing reveals the patterns in a set of data, it provides no explanation as to why it is so. It is left to the researcher to draw conclusions as to the reasons for the patterns.

5 0
3 years ago
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