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Veseljchak [2.6K]
3 years ago
10

Please hurry I will mark you brainliest.

Mathematics
1 answer:
ivann1987 [24]3 years ago
4 0

Answer:

12862.83cm³

Step-by-step explanation:

Volume of the Box: [L×W×H] or [30x30x30] or [27000cm³]

Volume of the Sphere: [\frac{4}{3}\pi r^{3}] (\pi=pi=3.14) (r=radius=15) or [\frac{4}{3}×3.14×3375] or [14137.17cm³]

Volume of the empty space: 27000cm³-14137.17cm³=12862.83cm³

Btw there are online tools to help you find the volume of a sphere (just use it after you understand the equation)

Hope I helped!

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Which is a correct expansion of (4x + 1)(2x - 2)?​
bekas [8.4K]

Answer:

8x^2 -6x-2

Step-by-step explanation:

formula= ab^2(- or +)b-ab

3 0
3 years ago
Determine the slope of the line represented by the equation 9x + 4y = 8 . Represent the slope in decimal form.
qaws [65]
The slope in fraction form is -9/4 so converted to a decimal is -2.25
5 0
4 years ago
Exam ends in 30 min help
Zina [86]

Answer:

rectangle

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Step-by-step explanation:

shape name is rectangle

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5 0
3 years ago
ok KO of mass 550 gram has three ingredients flour sugar and raisins there is twice as much as flour sugar and one and a half ti
brilliants [131]

Answer:

2S = F

1.5R = S or R = S/1.5

So flour F and sugar S and raisins R

F + S + R = 550

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3S + 1.5S + S = 550*1.5

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S = 100*1.5

S = 150

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4 0
3 years ago
Read 2 more answers
What is the standard deviation around the regression line?.
Triss [41]

Answer:

The standard deviation of the residuals calculates how much the data points spread around the regression line. The result is used to measure the error of the regression line's predictability.

Step-by-step explanation:

<h2>How do you find the standard deviation around the regression line?</h2>

STDEV. S(errors) = (SQRT(1 minus R-squared)) x STDEV. S(Y). So, if you know the standard deviation of Y, and you know the correlation between Y and X, you can figure out what the standard deviation of the errors would be be if you regressed Y on X.

<h2>What does standard deviation tell you?</h2>

A standard deviation (or σ) is a measure of how dispersed the data is in relation to the mean. Low standard deviation means data are clustered around the mean, and high standard deviation indicates data are more spread out.

3 0
2 years ago
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