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Ugo [173]
3 years ago
11

NO LINKS Write an inequality to represent the phrase: The sum of a number and seven less than a number

Mathematics
2 answers:
german3 years ago
8 0

Answer:

The sum of a number, which I have named 'n', and 7 can be written as the expression:

n+7

remember the word 'is' in a written problem indicates where you'll most likely use an =,≥,≤ sign. Since they say that it is 'no more than' we know that n+7 is less than or equal to the given number, so we use '≤'.

n+7≤ 1

Step-by-step explanation:

katrin2010 [14]3 years ago
5 0

Answer:

same number

x + (x-7)

or diferent number

x+ (y-7)

Step-by-step explanation:

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You get a job making $12 per hour. You do a great job and your boss says he is going to give you a 25% raise!!! What is your new
AURORKA [14]

Answer:

15

Step-by-step explanation:

10% of 12 =1.2

1.2*2= 2.4 (20%)

1.2/2= 0.6 (5%)

2.4+0.6= 3

12+3= $15

3 0
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maria [59]

Answer:

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Step-by-step explanation:

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Is this a liner equation ,the price of a loaf of bread increases by .25 each week
alexgriva [62]

i think its not because it should increase so it would go diagonal

 

5 0
3 years ago
In ΔJKL, j = 93 cm, k = 82 cm and l=86 cm. Find the measure of ∠J to the nearest degree.
zhuklara [117]

Answer:

5

Step-by-step explanation:

Answer:

85t

Step-by-step explanation:

1. Volume of a cone: 1. V = (1/3)πr2h 2. Slant height of a cone: 1. s = √(r2 + h2) 3. Lateral surface area of a cone: 1. L = πrs = πr√(r2 + h2) 4. Base surface area of a cone (a circle): 1. B = πr2 5. Total surface area of a cone: 1. A = L + B = πrs + πr2 = πr(s + r) = πr(r + √(r2 + h2))

hope this helps

8 0
3 years ago
Read 2 more answers
Why is a regression line referred to as the line of best fit?
aalyn [17]
<h2>Answer with explanation:</h2>

When there is a linear relationship is observed between the variables, we use  linear regression predict the relationship between them.

Also, we predict the values for dependent variable by modelling a linear model that best fits the data by drawing a line Y=a+bX, where X is the explanatory variable and Y is the dependent variable.

In other words: The line of best fit is a line through a scatter plot of data points that best describes the relationship between them.

That's why the  regression line referred to as the line of best fit.

4 0
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