All categories

3 years ago

24 inches is equal to how many feet

2 answers:

7 0

2 feet.
12 inches=1 foot
Since there is 24 inches, that's 24 divided by 12= 2 feet.
Basically,
12 inches= 1 foot
24 inches=2 feet
36 inches= 3 feet
48= 4 feet
And so on.
2 feet is your answer.

cupoosta [38]3 years ago

3 0

The answer is 2 feet it is equal to two feet

You might be interested in

Use algebra tiles to model the expression, and then combine like terms. Check all that apply. 3 + 2 + x + x Combine the x tiles

marysya [2.9K]

Answer:

im sorry but, im struggling on that problem too your awnser is 1, 3,5

Step-by-step explanation:

5 0

3 years ago

Read 2 more answers

Gabriel has $0.80 worth of pennies and

Juliette [100K]

Answer:

nickels=13 and pennies=15

Step-by-step explanation:

0.05n+0.01p=0.80

-0.01(n+p=28)

0.05n+0.01p=0.80

-0.01n-0.01p= -0.28

0.04n=0.52

n=13

p=15

4 0

3 years ago

1/3 + 3/2 + 4/3 + 1/2 + 1/6

julia-pushkina [17]

Answer:0.407

Step-by-step explanation:

6 0

2 years ago

The following data show the brand, price ($), and the overall score for 6 stereo headphones that were tested by Consumer Reports

Olenka [21]

Complete Question

The complete question is shown on the first uploaded image

Answer:

SST = 1800

SSR = 1512.376

SSE = 287.624

coefficient of determination is $r^2 \approx 0.8402$

What this is telling us is that 84.02% variation in dependent variable y can be fully explained by variation in the independent variable x

The correlation coefficient is $r = 0.917$

Step-by-step explanation:

The table shown the calculated mean is shown on the second uploaded image

Let first define some term

SST (sum of squares total) : This is the difference between the noted dependent variable and the mean of this noted dependent variable

SSR(sum of squared residuals) : this can defined as a predicted shift from the actual observed values of the data

SSE (sum of squared estimate of errors): this can be defined as the sum of the square difference between the observed value and its mean

From the table

$SST = SS_{yy} = 1800$

$SSR = \frac{SS^2_{xy}}{SS_{xx}} = \frac{4755^2}{14950} = 1512.376$

$SSE =SST-SSR$

$=1800 - 1512.376$

$= 287.62$

The coefficient of determination is mathematically represented as

$r^2 = \frac{SSR}{SST}$

$= 1-\frac{SSE}{SST}$

$r^2= 1-\frac{287.6237}{1800}$

$r^2 \approx 0.8402$

The correlation coefficient is mathematically represented as

$r = \pm\sqrt{r^2}$

Substituting values

$r = \sqrt{0.84020}$

$r = 0.917$

this value is + because the value of the coefficient of x in estimated regression equation( $24.9 + 0.301x,$ ) is positive

5 0

3 years ago

Find the other endpoint of the line segment with the given and put in midpoint (-1,9) (-9, 10)

musickatia [10]

Answer ask google

Step-by-step explanation:

bc it is helpful

3 0

2 years ago