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3 years ago

Write a variable expression for the amount of your budget after b books

1 answer:

wel3 years ago

8 0

Because if let's say you have 400$ for the year, and each book cost 10$. So it would be written as 400-10b since the quantity of books must be multiplied times their cost to calculate whether you are within or outside the budget.

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Use the basic proportion = -to solve the following problem for the unknown quantity. Round your answer to the

Digiron [165]

Answer:

154.34%

Step-by-step explanation:

We are asked to determine what percentage of 357 is 551.

Let us assume that x% of 357 is 551.

So, $\frac{357 \times x}{100} = 551$

⇒ $\frac{x}{100} = \frac{551}{357}$

⇒ $x = \frac{551}{357} \times 100$ ......... (1)

⇒ x = 154.34%

So, it is clear from the step (1) that when we take the basic ratio then multiply with 100, then we will get the percentage. (Answer)

5 0

2 years ago

Need help with these. please show work

koban [17]

Answer:

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Step-by-step explanation:

3 0

2 years ago

How can you use a right angle to determine the classification of another angle?

nirvana33 [79]

you can measure the first angle with a protractor and then measure the other one see if there is a different angle

7 0

3 years ago

Read 2 more answers

Which of the following pairs of lines are not parallel?

goldfiish [28.3K]

Answer: Not sure

Step-by-step explanation: A is wrong because they are parallel in one is on the top to the right and 1 is on the bottom. sorry thats all i know :(

7 0

2 years ago

The least-squares regression line is_____________. A. the line that passes through the most data points.B. the line that makes t

Elanso [62]

Answer:

<h3>The option B) is correct.</h3><h3>That is the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible is correct answer</h3>

Step-by-step explanation:

Given that " The least-squares regression line "

The least-squares regression line is <u>the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible.</u>

Therefore option B) is correct

3 0

2 years ago