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laila [671]
2 years ago
9

How many feet are in 2,241 inches? (1 foot = 12 inches)

Mathematics
2 answers:
77julia77 [94]2 years ago
8 0
Answer: A) 186.75 feet

Step-by-Step Explanation:

1 foot = 12 inches
1 inch = 1/12 foot

Therefore, Inches to Feet :-
= 2241/12
= 186.75 feet
maksim [4K]2 years ago
8 0
A- 186.75 feet

explanation: it just is because if you do the math
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F(x) = 4x2*<br> How do u graph this
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Step-by-step explanation:

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3 years ago
Volume (look at the picture)
bonufazy [111]

Answer:

108

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5 0
2 years ago
Your family takes a trip to the train station. The taxi fare is $17.85. You pay the taxi driver a 18% tip. How much will he get
IceJOKER [234]

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his tip will be $3.21

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3 0
3 years ago
Read 2 more answers
Hazel wants to mix 12 pounds of her special blend coffee that will cost her $12.50 per pound. She uses Columbian and Sumatra cof
k0ka [10]
Let x be the amount of Columbian coffee in the mixture and y the amount of Sumatra coffee in the mixture, then
x + y = 1 . . . (1)
9.25x + 14.25y = 12.50 . . . (2)

(1) x 9.25 => 9.25x + 9.25y = 9.25 . . . (3)

(2) - (3) => 5y = 3.25 => y = 3.25/5 = 0.65

From (1), x + 0.65 = 1 => x = 1 - 0.65 = 0.35

1 pound of the mixture contains 0.35 Columbian coffee and 0.65 Sumatra coffee
Therefore, 12 pounds of the mixture will contain 0.35 x 12 = 4.2 pounds of Columbian coffee and 0.65 x 12 = 7.8 pounds of Sumatra coffee
3 0
2 years ago
If the r-value, or correlation coefficient, of a data set is 0.854, what is the
Kruka [31]
Answer with explanation:
Coefficient of determination(r²), is defined as, how well the data values are associated with each other when Regression line is drawn. In regression analysis, the coefficient of determination measures , how well the regression predictions approximate the real data points, means it measures the closeness between two variables.The Value of r², lies between 0 to 1. If value of r²=1, it shows ,regression line that is data values are Perfectly associated with each other.
If ,r²=0, it means there is no variation between two variables.There is 0% variation between two variables.
→Coefficient of Variation=[Correlation coefficient]²
=r²
=(0.854)²
=0.854 × 0.854
=0.729316
=0.730(Approx)
7 0
1 year ago
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