What is the mathematical name for a can of soup.

Answers

Answer 1
Answer: The mathematical name for a can of soup is a cylinder.
Answer 2
Answer: A can of soup is the same shape of a cylinder.

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There is a closed carton of eggs in Mai's refrigerator. The carton contains "e" eggs and it can hold 12 eggs. What are some possible values of e that will make both e < 12 and e > 0 true?
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Two lines, A and B, are represented by the following equations: Line A: 4x + 4y = 16 Line B: x + y = 4 Which statement is true about the solution to the set of equations? It is (1, 2). There are infinitely many solutions. It is (1, 5). There is no solution.

Answers

Well it can't be (1,2) because that comes out to be 12 not 16, and it also can't be (1,5) because that comes out to be 20, but there is a solution,  that i know of for sure which is (0, 4). So your answer would probably be there are infinitely many solutions.

Answer:

The answer is B. There are infinitely many solutions.

Step-by-step explanation:

None of the other answers make sense and do not work.

Hope This Helps!

Please help with math!

Answers

The answer would be -13. There's a negative sign outside the brackets, which means that it's -13 even if simplified.
It should be positive 13 because the 2 negatives cancel each other out

What is the graph of y=-4x-1?

Answers

hope this helps! ^-^

How do I work out this problem, How many ways can the letters in the word "WISCONSIN" be arranged?

Answers

This is a typical case of permutation of elements

Formula is:

\boxed{P_n=n!}

Permutation of n elements is equal to n!

So:

P_9=9!=362,880 \ ways

I WILL GIVE BRAINLEST PLEASE HELPWhich of the following is an example of the difference of two​ squares?
A x2−9
B x3−9
C (x+9)2
D (x−9)2
I know the answer is either A or B i might be wrong tho pls help im not sure.

Answers

Answer:

A

Step-by-step explanation:

In this question, we are concerned with selecting which of the options best represents the difference of two squares.

Let’s have an exposition below as follows;

Consider two numbers, which are perfect squares and can be expressed as a square of their square roots;

a^2 and b^2

where a and b represents the square roots of the numbers respectively.

Inserting a difference between the two, we have;

a^2 - b^2

Now by applying the difference of two squares, these numbers will become;

a^2 - b^2 = (a + b)(a-b)

So our answer out of the options will be that option that could be expressed as above.

The correct answer to this is option A

Kindly note that;

x^2 -9 can be expressed as x^2 - 3^2 and consequently, this can be written as;

(x-3)(x + 3)

An equation was created for the line of best fit from the actual enrollment data. It was used to predict the dance studio enrollment values shown in the table below:Enrollment Month
January February March April May June
Acutal 120 140 150 140 150 130
Predicted 80 150 110 150 110 150
Residual 40 −10 40 −10 40 −20


Analyze the data. Determine whether the equation that produced the predicted values represents a good line of best fit.
No, the equation is not a good fit because the residuals are all far from zero.
No, the equation is not a good fit because the sum of the residuals is a large number.
Yes, the equation is a good fit because the residuals are not all far from zero.
Yes, the equation is a good fit because the sum of the residuals is a small number.

Answers

The right answer for the question that is being asked and shown above is that: "No, the equation is not a good fit because the sum of the residuals is a large number." Determine whether the equation that produced the predicted values represents a good line of best fit.

The equation that produced these predicted values is not a good fit given that the sum of the residuals is a large number.

What is the sum of the residuals in a regression equation?

The sum of the residuals in a regression is a value that is always supposed to be almost equal to zero in a regression analysis.

The residual tells us that the error term has been reduced to the minimum in the regression analysis.

Read more on a regression analysis here:

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