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Novosadov [1.4K]
3 years ago
9

Someone help me please

Mathematics
1 answer:
horrorfan [7]3 years ago
5 0

Answer:

56.7

Step-by-step explanation:

6.3^2 * 9^2= 56.7

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Please give me correct answer and fast answer it if know answer only
Stolb23 [73]

Answer:

Approximatley 5.8 units.

Step-by-step explanation:

We are given two angles, ∠S and ∠T, and the side opposite to ∠T. We need to find the unknown side opposite to ∠S. Therefore, we can use the Law of Sines. The Law of Sines states that:

\frac{\sin(A)}{a}=\frac{\sin(B)}{b} =\frac{\sin(C)}{c}

Replacing them with the respective variables, we have:

\frac{\sin(S)}{s} =\frac{\sin(T)}{t} =\frac{\sin(R)}{r}

Plug in what we know. 20° for ∠S, 17° for ∠T, and 5 for <em>t</em>. Ignore the third term:

\frac{\sin(20)}{s}=\frac{\\sin(17)}{5}

Solve for <em>s</em>, the unknown side. Cross multiply:

\frac{\sin(20)}{s}=\frac{\sin(17)}{5}\\5\sin(20)=s\sin(17)\\s=\frac{5\sin(20)}{\sin(17)} \\s\approx5.8491\approx5.8

6 0
3 years ago
Read 2 more answers
A company that makes hair care products had 6,000 people try a new shampoo of the 6.000
Y_Kistochka [10]

Answer:

0.2

Step-by-step explanation:

600/60 = 100

12/60 = 0.2

8 0
3 years ago
EXPLAIN PLEASE HSHSJJS
Alinara [238K]
The answer is c!!!! hope this helps
5 0
2 years ago
Can i have help please NO LINKS!!​
Blizzard [7]
The answer and work are shown in the picture given.
3 0
2 years ago
Earlier we investigated the relationship between x = payroll (in millions of dollars) and y = number of wins for Major League Ba
Minchanka [31]

Answer:

Kindly check explanation

Step-by-step explanation:

Given that:

Equation of regression line : y^ = 60.7 + 0.139x

x = payroll (in millions of dollars) and y = number of wins for Major League Baseball teams in 2016.

From the general regression equation:

y = mx + c

Where m = slope of regression line.

The slope (m) of the equation given is 0.139

The slope could be interpreted as ; for every per unit change in y (every win a major league baseball team has in 2016), the payroll in million dollar increases by a product of 0.139

4 0
3 years ago
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