Since 1 meter is equivalent to 39.37 inches,
then we convert:
3 meters * (39.37 inches / 1 meter)
= 118.11 inches
Answer:
<u>The correct answer is C. It is the original amount of money the bank loans the borrower.</u>
Step-by-step explanation:
Let's recall that are five basic elements for calculating the payment of a loan:
1. The principal. How much money you borrow.
2. The interest rate. How much money you will pay in addition to the principal.
3. The period of time. How long will it takes you to pay the loan.
4. The frequency of payment. Will you pay every month?, every quarter?, every year or maybe every two weeks?
5. Additional payments. When you have additional income seasonally and you want to lower either the period of time or the interests to pay.
Answer:
The length is 16.1 ft and the width is 4.7 ft
Step-by-step explanation:
Let
x -----> the total length of the tables
y -----> the width of the tables
we know that
The area is equal to


so
-----> equation A
-----> equation B
substitute equation B in equation A


Solve the quadratic equation by graphing
The solution is 
Find the value of x

therefore
The length is 16.1 ft and the width is 4.7 ft
37 short-sleeved shirts were sold and 30 long-sleeved shirts were sold
Step-by-step explanation:
Let s be the number of short-sleeved shirts
and
l be the number of long sleeved-shirts
Then according to given statements

From eqn 1:

Putting in equation 2:

Dividing both sides by 11

Putting l=30 in equation 1

Hence,
37 short-sleeved shirts were sold and 30 long-sleeved shirts were sold
Keywords: Linear equations
Learn more about linear equations at:
#LearnwithBrainly
Options :
(A.) y=558-273x (B.) y=264+142x (C.) y = 55.8 +2.79x (D.) y= -26.4-1.42x
Answer:
C.) ŷ = 2.79X + 55.8
Step-by-step explanation:
Given the data:
cost (x): 9 2 3 4 2 5 9 10
Number of products sold: 85 52 55 68 57 86 83 73
Using the online regression calculator to generate a linear regression plot of the given data: the model obtained is given below
ŷ = 2.79X + 55.8
With y being the predicted or dependent variable
Slope or gradient of the line = 2.79
X = the independent variable
55.8 = the intercept.