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3 years ago

Could you guys help me in 34 please , I am stuck . I will add points

Mathematics

1 answer:

Sever21 [200]3 years ago

3 0

The answer is (1 3/4, 8 1/4)

This is because if you check the previous values for x and y you can see that you have to add 2/4 to c and y.

Hope this helps!

If it does, it would be helpful to me if you could make me brainliest.

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Plz answer my question it is urgent..!!

oee [108]

Answer:

In the step-by-step explanation!

Step-by-step explanation:

Not sure if it is too late but here:

1.)

$\frac{1}{\alpha}+\frac{1}{\beta} \\\frac{\beta}{\alpha \beta } +\frac{\alpha}{\alpha \beta } \\\frac{\alpha +\beta }{\alpha \beta }$

2.)

$\frac{1 }{\alpha } *\frac{1}{\beta} = \frac{1*1}{\alpha*\beta} =\frac{1}{\alpha \beta}$

3.)

$\frac{1}{\alpha}-\frac{1}{\beta}\\ \frac{\beta}{\alpha \beta } -\frac{\alpha }{\alpha \beta } \\\frac{\beta -\alpha }{\alpha \beta }$

Hopes this help! Please give me Brainliest!

6 0

3 years ago

What is the radius of the base of the cone in the figure below?

liubo4ka [24]

Answer: approximately 12.17 units

==========================================================

Work Shown:

We'll use the tangent ratio to find r

tan(angle) = opposite/adjacent

tan(49) = 14/r

r*tan(49) = 14

r = 14/tan(49)

r = 12.1700143294271

r = 12.17

The radius is approximately 12.17 units long.

7 0

3 years ago

Evaluate<br> O 15<br> O1<br> What’s the answer?????

Sphinxa [80]

The pictures is black and theres only 15 and a 1 so im gonna guess 15

3 0

3 years ago

State the degree for the polynomial:

Ivahew [28]

Answer:

Step-by-step explanation:

the degree of the polynomial is the highest degree of any of the terms.

7 0

3 years ago

Read 2 more answers

Suppose the correlation between height and weight for adults is +0.40. What proportion (or percent) of the variability in weight

Schach [20]

Answer:

We are given the correlation between height and weight for adults is 0.40.

We need to find the proportion of the variability in weight that can be explained by the relationship with height.

We know that coefficient of determination or R-square measures the proportion or percent of variability in dependent variable that can be explained by the relationship with independent variable. There the coefficient of determination is given below:

$R^{2}=r^{2}=0.40^{2}=0.16$

Therefore, the 0.16 or 16% of the variability in weight can be explained by the relationship with height

7 0

3 years ago