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sesenic [268]
3 years ago
5

The Magic Carpet charges $90 for installation and $9 per square yard of carpeting. If the total cost to carpet an office is $810

, how many square feet is the office?
Mathematics
1 answer:
dimaraw [331]3 years ago
4 0

Answer:

<h2>11.11 square yard </h2>

Step-by-step explanation:

Step one:

given data

charges=$90

installation=$9 per square yard

total cost of installation= $810

let x represents the number of square feet

Step two:

The expression for the installation cost is given as

810=9x+90------------1

solve for x, collect like terms

810-90=9x

720=9x

divide both sides by 9 we have

x=720/9

x=11.11 square yard

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Step by step:

Each day it takes a sample of 15 pies - on Monday he needed 4:

4/15 = x/450 (450 being the total for each day)

4 x 450 = 1800
1800 divided by 15 = 120

120 is the amount of pies that were made on Monday


Hope this helps
Leave a like and brainliest!!
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3 years ago
The table shows the shipping costs for items of different values. A 2-column table with 4 rows. The first column is labeled tota
Lisa [10]

A strong positive correlation.

Step-by-step explanation:

The question requires you to calculate the correlation coefficient and then make a conclusion about its value.

Form a table as shown where x is cost of items and y is shipping cost

x               y           xy                   x²         y²

25           5.99       149.8          625         35.9

45            8.99       404.6       2025        80.8

50            8.99      449.5         2500       80.8

70            10.99      769.3         4900       120.8

190           34.96     1773.2        10050      318.3 ------sum

The formula for correlation coefficient follows;

r=n(∑xy)-(∑x)(∑y) ÷ √{[n∑x²-(x)²] [n∑y²-(y)²]}

where n=4

r=4(1773.2)-(190)(34.96) ÷ √{[4(10050)-190²] [4(318.3)-34.96²]}

r=450÷ √{4100*51)

r=450÷√209100

r=450÷457.3

r=0.98409

The value of r indicates a stronger positive correlation

Learn More

Correlation coefficient :brainly.com/question/12528676

Keywords :shipping costs,cost of items, strength of the model

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