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kotykmax [81]
3 years ago
10

Can you please show me how to do:

Mathematics
2 answers:
Anettt [7]3 years ago
6 0
6sqr(3)×sqr(3)/3
[6sqr(3)×sqr(3)]/3
sqr(3)×sqr(3)=sqr(3)^2=3
(6×3)/3
3's cancel
6 is the answer
USPshnik [31]3 years ago
3 0

Step-by-step explanation:

6\sqrt3\cdot\dfrac{\sqrt3}{3}=\dfrac{(6\sqrt3)(\sqrt3)}{3}\\\\\text{use the associative property}\ (a\times b)\times c=a\times(b\times c)\\\\=\dfrac{(6)(\sqrt3\cdot\sqrt3)}{3}\\\\\text{use}\ \sqrt{a}\cdot\sqrt{a}=a\\\\=\dfrac{(6)(\not3)}{\not3}\qquad\text{cancel 3}\\\\=6

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455 is divisible by 10. True or false
Yuliya22 [10]

Answer:

true and the answer would be 45.5

Step-by-step explanation:

7 0
3 years ago
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5,-5/2,5/4,-5/8 what is the 5th term
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Answer: your answer would be 5/16th :)

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US Department of Transportation As part of a study on transportation safety, the US Department of Transportation collected data
Nonamiya [84]

Answer:

  • we can conclude that for every single unit of : x, y would be increased by 0.2871.  and intersection of x and y will be through =1.5974
  • it  can be  concluded that they are strongly positively correlated. There is strong and positive correlation between them. i.e the number of fatal accidents and the drivers under the age of 21

Step-by-step explanation:

WITH THE GIVEN DATA

A ) using regression to investigate the relationship between the number of fatal accidents and the percentage of drivers under the age pf 21

to fit into a regression line we must have ∝ and β

where β = \frac{S_{xy} }{S_{xx} }   = 0.2871

and ∝ = y - βx   =  - 1.5974

regression line = ∝ + β * x

insert values into regression line equation

regression line = -1.5974 + 0.2871 * x

we can conclude that for every single unit of : x, y would be increased by 0.2871.  and intersection of x and y will be through =1.5974

B ) conclusion and recommendations can you derive from your analysis

it  can be  concluded that they are strongly positively correlated. There is strong and positive correlation between them. i.e the number of fatal accidents and the drivers under the age of 21

using the correlation coefficient  ( r ) = \frac{S_{xy} }{\sqrt{S_{xx}*S_{xy}  } }    = 0.8394

5 0
3 years ago
A large pizza at Little Italy costs $7.00 plus $0.80 for each topping. The cost of a large cheese pizza at Spinato's is $7.60 pl
laiz [17]
At the start you will start with $7 and $7.60 there is a simple way and a more complex process. The simple way is using the formula of y=mx+b so y=.8x+7 and the other way is just too add .8 to 7 and .7 to 7.6 and keep doing that till you get the answer. The answer is 7, seven topping have to be added to make them the same price.
6 0
3 years ago
The height of a small rise in a roller coaster track is modeled by () = −. + . + . , where x is the distance in feet from a supp
Reika [66]

Answer:

Maximum height is 7 feet

Step-by-step explanation:

Solution:-

- The complete question is as follows:

" The height of a small rise in a roller coaster track is modeled by f(x) = –0.07x^2 + 0.42x + 6.37, where x is the distance in feet from a supported at ground level.

Find the greatest height of the rise "

- To find any turning points ( minimum or maximum ) points of a trajectory expressed as function of independent parameter, we find the critical points of the trajectory where the first derivative of the dependent variable w.rt independent variable is set to zero.

- In our case the height of the roller coaster track (y) is function of the distance (x) from a supported pole at ground level.

                    f(x) = –0.07x^2 + 0.42x + 6.37

- Now set the first derivative equal to zero, and determine the critical values of x:

                    0 =  -0.14x + 0.42

                    x = 0.42 / 0.14 = 3 ft

- The critical value for the coaster track is at point 3 feet away from the supported pole at ground level. So the height f(x) at x = 3 ft, would be:

                    f ( x = 3 ) = max height

                    max height =  –0.07*3^2 + 0.42*3 + 6.37

                                        = 7 ft

5 0
3 years ago
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