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Feliz [49]
2 years ago
9

Find the volume of the cylinder. Use 3.14 for π. Round your answer to the nearest tenth.

Mathematics
2 answers:
Maurinko [17]2 years ago
3 0

Answer:

409.77 is the answer!

Step-by-step explanation:

3 x 3 x 3.14 x 14.5

pie x r^2 x h = V

lutik1710 [3]2 years ago
3 0

Answer:

The volume of the cylinder is 410 ft^3

Step-by-step explanation:

To find the volume, we must know the formula. The formula is, V = π r^2 h. We already know that the diameter is 6ft, so we have to cut that in half to get the radius. 6/2 = 3. The radius is 3ft. Now we can plug in the values.

V = π*3^2*14.5

V = π*9*14.5

V = 409.977841

V = 410.0

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Which expressions are equivalent to 2^−4·2^2?
Ede4ka [16]

Answer: the answer is 6)

Step-by-step explanation:

Because 2x^{-4} . 2x^{2} = 2x^{-4+2} = 2x^{-2}

I hope it right

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3 years ago
Elena compró 34 de kilogramos de manzanas, 12 kilogramo de mangos y 2 kilogramos de naranjas. ¿Cuántos kilogramos de fruta compr
Oduvanchick [21]

Answer: 48 kilogramos de fruta

Step-by-step explanation:

Hola, para resolver este problema simplemente hay que sumar las cantidades de cada fruta:

Kilos de manzanas + kilos de mangos+ kilos de naranjas:

Matemáticamente hablando:

34+12+2 = 48 kg

Elena compro 48 kilogramos de fruta en total.

Si quedo alguna duda no dudes consultar con un comentario.

5 0
3 years ago
The least-squares regression model y =−3.4+5.2x and correlation coefficient r=−0.66 were calculated for a set of bivariate data
Makovka662 [10]

Answer:

r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}  

For this case the value of r = -0.66

Now we can calculate the determination coeffcient:

r^2 = (-0.66)^2 = 0.4356

And then we can conclude that 43.56% of the variation in y can be explained by the explanatory variable

And then 100-43.56 = 56.44 % of the variation in y that cannot be explained by the explanatory variable

Step-by-step explanation:

For this case we need to calculate the slope with the following formula:

m=\frac{S_{xy}}{S_{xx}}

Where:

S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}

S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}

\bar x= \frac{\sum x_i}{n}

\bar y= \frac{\sum y_i}{n}

And we can find the intercept using this:

b=\bar y -m \bar x

And the model obtained for this case is:

y = -3.4 +5.2 x

The correlation coefficient is a "statistical measure that calculates the strength of the relationship between the relative movements of two variables". It's denoted by r and its always between -1 and 1.

And in order to calculate the correlation coefficient we can use this formula:  

r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}  

For this case the value of r = -0.66

Now we can calculate the determination coeffcient:

r^2 = (-0.66)^2 = 0.4356

And then we can conclude that 43.56% of the variation in y can be explained by the explanatory variable

And then 100-43.56 = 56.44 % of the variation in y that cannot be explained by the explanatory variable

8 0
3 years ago
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