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VikaD [51]
3 years ago
14

Plzzz show your work to this problem

Mathematics
1 answer:
oee [108]3 years ago
8 0
The answer is C
Explanation: distributive property, multiply 4 (the number outside the parenthesis) times the numbers inside of it, 4•3x=12x and 4•4x=16x
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The waiting time to ride a roller coaster is 20 minutes one 150 people in line. How long is the waiting time when 1200 people ar
Serjik [45]
I’m not *completely* sure if this would be right, but it could possibly be:
160
how i got this:
20 = 150
/(divide) 150
0.13(recurring) = 1
x1200
160 = 1200

if you need me to explain anything in detail, please feel free to message! have a nice day:)<3
6 0
3 years ago
Help plz and thanks
rodikova [14]

Answer:

6b

Step-by-step explanation:

6 0
3 years ago
Read 2 more answers
Distance between parallel lines y=3x+10 and y=3x-20
Alecsey [184]

1. Take an arbitrary point that lies on the first line y=3x+10. Let x=0, then y=10 and point has coordinates (0,10).


2. Use formula d=\dfrac{|Ax_0+By_0+C|}{\sqrt{A^2+B^2}} to find the distance from point (x_0,y_0) to the line Ax+By+C=0.


The second line has equation y=3x-20, that is 3x-y-20=0. By the previous formula the distance from the point (0,10) to the line 3x-y-20=0 is:

d=\dfrac{|3\cdot 0-10-20|}{\sqrt{3^2+(-1)^2}}=\dfrac{30}{\sqrt{10}}=3\sqrt{10}.


3. Since lines y=3x+10 and y=3x-20 are parallel, then the distance between these lines are the same as the distance from an arbitrary point from the first line to the second line.


Answer: d=3\sqrt{10}.

4 0
3 years ago
Daphne wants to buy a coat that costs $80. The store has a sales tax of 6.5%. How much tax will Daphne be charged if she buys th
enot [183]

Answer:

$85.2

Step-by-step explanation:

6 0
3 years ago
Suppose you have a set of data points with a correlation of 0.85. What is the variance? A. Variance = √ r = 0.92195 B. Variance
TiliK225 [7]

Answer:

B. Variance = r2 = 0.7225

Step-by-step explanation:

Given the correlation coefficient, variance is obtained by squaring the correlation coefficient to obtain what is also know as coefficient of determination. Gives information on the predictive power of the model

8 0
4 years ago
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