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Yuliya22 [10]
3 years ago
13

The length of a rectangle is 2x – 3 feet, and the width is 5 feet. What is the area of the rectangle in square feet?

Mathematics
2 answers:
schepotkina [342]3 years ago
8 0
The area of a rectangle is the product of its length and its width. It is expressed as:

Area = l x w

We use this equation, to solve this problem.

<span>Area = l x w
</span>Area = (<span>2x – 3)</span> x 5
Area = 10x - 15

Therefore, the correct answer is option B.
drek231 [11]3 years ago
5 0
5(2x - 3)

5 * 2x = 10x
5 * -3 = - 15

10x - 15


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∠ABC and ∠DBC are complementary angles. If ∠ABC=6x+13 and ∠DBC=4x−3 what is the value of x?
Natalka [10]

Answer:

x = 8

Step-by-step explanation:

Complimentary angles are angles that add up to 90 degrees. If ABC and DBC are complimentary, then when added together, it equals 90 degrees.

ABC + DBC = 90

6x+13+4x−3 = 90

10x+10 = 90

10x = 80

x = 8

6 0
3 years ago
What is 1/10 of 1000 what is 1% out of 100
Ulleksa [173]
To get 1/10 ->  1000/10 =100
and 1% of 100 -> 100/100 = 1 or 1%

100 for question 1
1 for q2

3 0
3 years ago
Pls help me! I will mark brainliest if you are correct
Aleksandr [31]

Answer:

I' would say A but C could be a possibility.

Step-by-step explanation:

8 0
2 years ago
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There are 88 marbles in a bin and 25 percent of the marbles are red how many red marbles are in the bin ?
alina1380 [7]

Answer:

22 marbles are red

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#CarryOnLearning

6 0
3 years ago
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You conducted a regression analysis between Amount of Wealth in society (x) and the Stock Market Value (y) and the study yielded
Aliun [14]

Answer:

E IS THE CORRECT ANSWER

The R-squared is 0.64 and it means that the dependent value explains 64% of the independent value in the simple regression analysis

Step-by-step explanation:

R-Squared value is a very important indicator in a regression analysis.

What does it measure?

It measures how close to the line of best fit are the data points. How good the fitted line is can be indicated by the value of the r-squared.

The maximum value it can take is 1 and at this value, there is a direct and complete relationship between the independent variable x and the dependent variable y. The value 1 represents an 100% relationship between both parties.

The r-squared has a value of between 0 and 100%. The closer to 100, the better the model while the closer to 100, the more faulty the model is. In fact, a value of 0 indicates no relationship at all between the dependent and the independent variable.

With an R-squared value of 0.64, the regression model works above average to explain that the dependent variable explains 64% of the independent value in the simple regression analysis.

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