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3 years ago

Is 2.5/4 proportional with 7/11.2

Mathematics

1 answer:

AlexFokin [52]3 years ago

4 0

Answer: Only if their cross products are equal.

If 2.5 x 11.2 = 4 x 7 then they form a proportion.

And the answer is yes

because both cross products are 28.

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37:35-(32:24-10).2+√289=

Mkey [24]

Answer:

to simplify this it is 1295/1804

Step-by-step explanation:

3 0

3 years ago

2x2-50=0 me ajudem por favor e pra amanha

kvv77 [185]

Answer:

-46

Step-by-step explanation:

2×2=4-50 lol lol lol

3 0

3 years ago

Read 2 more answers

Which of the following measurements, in centimeters (cm), could be the lengths of the sides of a triangle? Select all that apply

AlekseyPX

Answer:

All of them

Step-by-step explanation:

triangles are different sizes

7 0

3 years ago

A company is making a new label for one of their containers. The container is a cylinder that is 9 inches tall and 5 inches in d

nydimaria [60]

Answer:

180.55 in².

Step-by-step explanation:

Data obtained from the question include the following:

Height (h) = 9 in.

Diameter (d) = 5 in

Pi (π) = 3.14

Area of the label =..?

Next, we shall determine the radius.

Diameter (d) = 5 in

Radius (r) =.. ?

Radius (r) = Diameter (d) /2

r = d/2

r = 5/2

r = 2.5 in.

Next, we shall determine the area of the label that needs to be printed to go around the new container by calculating the surface area of the cylinder.

This is illustrated below:

Height (h) = 9 in.

Pi (π) = 3.14

Radius (r) = 2.5 in.

Surface Area (SA) =.?

SA = 2πrh + 2πr²

SA = (2×3.14×2.5×9) + (2×3.14×2.5²)

SA = 141.3 + 39.25

SA = 180.55 in²

The surface area of the cylinder is 180.55 in².

Therefore, the area of the label that needs to be printed to go around the new container is 180.55 in².

5 0

3 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