Marion left out reasons from her proof. Which reason best supports the statement?

castortr0y [4]

B. Not moving, is the correct answer.

A is not correct because constant speed on a distance vs. time graph would vertically point to the right. C is not correct because acceleration on a distance vs. time graph would curve upwards. D is not correct because B applies to the graph.

Hope this helps :)

3 0

3 years ago

Sally ran 2 % miles in 12 hour. What is her<br> speed in miles per hour?

andreev551 [17]

Answer:

Step-by-step explanation:

if you're saying she ran .2 miles in 12 hours

then she ran .016 miles per hour

if you're saying she ran 2 miles in 12 hours,

then she ran 1/3 mile per hour or 0.3333 miles per hour

7 0

3 years ago

The elevation of lake sam rayburn is 164 above mean sea level during the summer if it does not rain the elevation of the lake de

andrew-mc [135]

Answer:

I guess that you want to model the elevation of Lake Sam Rayburn.

During the summer, it is 165 ft above the sea level (the sea level is our position 0ft).

If it does not rain, the elevation of the lake decreases by 0.5ft each week.

So if we assume that there is no rain, we can write the elevation fo the lake as a linear relationship with slope equal to -0.5ft and y-intercept equal to 165ft.

L(w) = 165ft - 0.5ft*w

Where w is the number of weeks without rain, if we have 0 weeks without rain, then the level of the lake remains constant at 165ft above sea level,

L(0) = 165ft - 0.

4 0

3 years ago

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

2 years ago

Anyone know the answer to this algebra problem?

ikadub [295]

Answer: $\bold{a=1\qquad b=\dfrac{1}{16}\qquad c=\dfrac{1}{64}\qquad d=1\qquad e=\dfrac{4}{9}\qquad f=\dfrac{16}{81}}$

<u>Step-by-step explanation:</u>

$\begin{array}{c|l}\underline{\quad x\quad}&\underline{\quad 4^{-x}\qquad \qquad}\\-1&4^{-(-1)}=4^1=4\\\\0&4^{-(0)}=4^0=1\\\\2&4^{-(2)}=\dfrac{1}{4^2}=\dfrac{1}{16}\\\\4&4^{-(4)}=\dfrac{1}{4^4}=\dfrac{1}{64}\end{array}$

$\begin{array}{c|l}\underline{\quad \bigg x \quad}&\underline{\quad \bigg(\dfrac{2}{3}\bigg)^x\qquad \qquad}\\\\-1&\bigg(\dfrac{2}{3}\bigg)^{-1}=\dfrac{3}{2}\\\\0&\bigg(\dfrac{2}{3}\bigg)^{0}=1\\\\2&\bigg(\dfrac{2}{3}\bigg)^{2}=\dfrac{2^2}{3^2}=\dfrac{4}{9}\\\\4&\bigg(\dfrac{2}{3}\bigg)^{4}=\dfrac{2^4}{3^4}=\dfrac{16}{81}\end{array}$

3 0

2 years ago