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jeyben [28]
3 years ago
6

PLs help lots of points

Mathematics
2 answers:
crimeas [40]3 years ago
7 0
Answer: They are the same

Explanation: same shape and size simple
NikAS [45]3 years ago
4 0

Answer:

I believe it is cube A

Step-by-step explanation:

the volume of Cube B equaled 2073.6 in for me. so it would be less than cube A

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Someone please help me answer this!!
steposvetlana [31]

Answer:

10 units is the answer.

Step-by-step explanation:

points are (-3,2) and (-9,-6)

Pythagorean theorem can be written as,

d=\sqrt{(x_2-x_1)^2 + (y_2-y_1)^2} \\\\d=\sqrt{(-9-(-3))^2 + (-6-2)^2}\\\\d=\sqrt{(-6)^2+(-8)^2} \\\\d=\sqrt{36+64} \\\\d=\sqrt{100} \\\\d=10

∴ distance between the points = 10 units

4 0
3 years ago
The square root of 1000 is between
asambeis [7]

Answer:

D

the square root of 1000 is 31.6227766017

Step-by-step explanation:

BRANIEST

6 0
3 years ago
the oval track below is formed by a straight section on each side and a semicircle at each end. what is the approximate distance
nikklg [1K]

Answer:

1040

Step-by-step explanation:

Circumference of the Circle: 439.82

Add that to the length of the rectangle time two: 439.82+(300x2)

That will give you the perimeter around the entire track:

439.82+(300x2)

439.82+600

1039.82

Rounded that is: 1040

<em>Hope this Helps :)</em>

4 0
3 years ago
Read 2 more answers
Is 19/72 greater than 1/4
alina1380 [7]

Answer:

Yes

Step-by-step explanation:

\frac{1}{4}  =  \frac{1 \times 18}{4 \times 18}  =  \frac{18}{72}  \\  \because \: 19 > 18 \\  \therefore \:  \frac{19}{72}  >  \frac{1}{4}  \\

7 0
3 years ago
Read 2 more answers
Suppose the correlation between height and weight for adults is +0.40. What proportion (or percent) of the variability in weight
Schach [20]

Answer:

We are given the correlation between height and weight for adults is 0.40.

We need to find the proportion of the variability in weight that can be explained by the relationship with height.

We know that coefficient of determination or R-square measures the proportion or percent of variability in dependent variable that can be explained by the relationship with independent  variable. There the coefficient of determination is given below:

R^{2}=r^{2}=0.40^{2}=0.16

Therefore, the 0.16 or 16% of the variability in weight can be explained by the relationship with height



7 0
3 years ago
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