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WINSTONCH [101]
3 years ago
12

A company makes 150 bags.

Mathematics
2 answers:
Goshia [24]3 years ago
8 0
43 is the correct answer
pantera1 [17]3 years ago
7 0

Answer:

Should be 43

Step-by-step explanation:

There are only 43 bags that actually have buttons from the 3 numbers given.

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Is 7/9 greater than or less than 0.6
LekaFEV [45]
7/9 is greater because if you divide the fraction you will get 0.77777777...
(Which will go on forever)

compare:  
        (< or >)  
0.7      ?      0.6

Well, by looking at both of them, you can easily tell that 0.7 is greater and 0.7=7/9, therefore, 7/9 is greater 

6 0
3 years ago
What is the insverse of the function f(x) =2x+1?
goldenfox [79]
F(x) = 2x + 1

To find the inverse of a function you just need to switch the x by y or vice-versa:

-> y = 2x + 1
-> x = 2y + 1

After that you isolate the y again:

-> 2y = x - 1

-> y = (x-1)/2
-> f^-1 (x) = (x-1)/2

Answer:
f^{ - 1} (x) = (x - 1) \div 2
5 0
3 years ago
What is the constant of variation for the quadratic variation? 0.1y = 3x2
svet-max [94.6K]

Answer:

The constant of variation for the given quadratic equation is, 30

Step-by-step explanation:

One of the form of a quadratic equation is written as:

y = kx^2     ....[1]

where k is the coefficient and for this case the constant of variation.

In order to obtain the answer for the given equation, we write the given equation to the form above.

0.1y=3x^2  or

y=(\frac{3}{0.1})x^2 or

y=30x^2

Comparing this equation with equation [1], to get the value of k;

k=30.

therefore, the  constant of variation is, 30.

6 0
3 years ago
I don’t know the answer help! ?
Gelneren [198K]

Answer:

m∠8=120°

Step-by-step explanation:

Given that lines L and M are parallel to each other, keep in mind that ∠1 and ∠8 are opposite exterior angles, so they will be congruent to each other. Therefore, m∠8=120°.

7 0
3 years ago
Read 2 more answers
In particular, OLS for the multiple regression model involves selecting parameters that will minimize:___________
brilliants [131]

Answer:

Ordinary Least Square (OLS) for the multiple regression model involves selecting parameters of a straight line function that will minimize <u>the sum of the squares of the variance in the given dataset and those forecasted by the straight-line function.</u>

Cheers

8 0
3 years ago
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