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Allushta [10]
3 years ago
5

What number when multiplied by 5 is one third of the sum of 64 and 56?​

Mathematics
1 answer:
Nookie1986 [14]3 years ago
6 0

Answer:

8

Step-by-step explanation:

Create an expression to model the situation. One can do this by simply rewriting the written expression in terms of numbers and variables. Use the variable (x) to represent the unknown value.

5(x)=\frac{1}{3}(64+56)

Simplify this expression,

5(x)=\frac{1}{3}(64+56)\\5x=\frac{1}{3}(120)\\5x=40\\

Use inverse operations to solve for (x),

5x=40\\x=8

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P=13 z=4
hram777 [196]

Answer:

you have more outfits than your friend

Step-by-step explanation:

you:

5*13=65outfits

friend:

4*9=36outfits

3 0
3 years ago
Plz, Help me with this!!!!<br> Plz, Help me with this!!!!
Maslowich

Answer:

-3x+2

Step-by-step explanation:

Since it's addition you just combine all like terms so,

5x+4

-8x-2

= -3x+2

3 0
3 years ago
Read 2 more answers
What is the result of isolating y2 in the equation below?<br><br> (x - 2)^2 + y2 = 64
Savatey [412]
APEX ! Non-linear systems of equation. 

4 0
3 years ago
S+2t=6. 3s-2t=2<br> Using elimination
Ludmilka [50]
For the first one, I will solve for t.
s + 2t = 6, first we isolate the t variable,
2t = -s + 6, divide both sides by 2,
t = -s/2 + 3, < There's your answer for 1!

Here's the second one,
3s - 2t = 2, subtract 3s from both sides,
-2t = 2 - 3s, divide both sides by -2,
t = -1 + 3s/2 < There's your second answer!
6 0
3 years ago
Find the regression line associated with the set of points. (Round all coefficients to four decimal places.) HINT (See Example 2
horrorfan [7]

The equation of the regression line is : Ŷ = 0.8571+0.8878X

Given the set of points :

(1, 2), (4,4), (9,9)

X axis : ___ Y axis

1 ___________2

1 ___________2 4 __________ 4

1 ___________2 4 __________ 4 9 __________ 9

The regression line associated could be obtained using technology such as excel, linear regression solvers or a graphing calculator.

Using technology :

Input the values of X and Y into their appropriate column and plot :

The regression equation obtained is :

Ŷ = 0.8571 + 0.8878X

Where :

Ŷ = predicted value of Y(dependent variable)

X = Independent variable

Slope = 0.8878

Intercept = 0.8571

The regression plot is attached below

Learn more : brainly.com/question/18405415?referrer=searchResults

7 0
2 years ago
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