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RUDIKE [14]
3 years ago
7

Jones deposits $15,000 in an account that earns 6% interest,​

Mathematics
1 answer:
schepotkina [342]3 years ago
5 0

the answer is finish the fxking question nim.wit

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For triangle ABC, angle A=110, angle B=43, and side b=15. Find side c.
vredina [299]

Answer: 10

<u>Step-by-step explanation:</u>

First, find m∠C by using the Triangle Sum Theorem:

∠A + ∠B + ∠C = 180°

110 + 43 + ∠C = 180°

     153   + ∠C = 180°

                ∠C = 27°

Next, Use the Law of Sines to solve for c:

\dfrac{b}{sin\ B}= \dfrac{c}{sin\ C}

\dfrac{15}{sin\ 43}= \dfrac{c}{sin\ 27}

\dfrac{15\ sin\ 27}{sin\ 43}= c

10 = c


8 0
3 years ago
I need some help please
Monica [59]

Answer:

24

Step-by-step explanation:

The way you calculate the volume of a shape is length x width x height. 4 x 3 x 2 = 24.

3 0
2 years ago
Which equation does not define a function?
stira [4]
The first relation gives two y-values for any given x-value (except x=6).

y² +x = 6 . . . . . is not a function

5 0
3 years ago
What is square root of √120 please help me ?​
olga55 [171]

Answer:

The square root of 120 is about 10.95

Step-by-step explanation:

7 0
3 years ago
Read 2 more answers
The least squares regression line minimizes the sum of the:
lorasvet [3.4K]

Answer:

d) Squared differences between actual and predicted Y values.

Step-by-step explanation:

Regression is called "least squares" regression line. The line takes the form = a + b*X where a and b are both constants. Value of Y and X is specific value of independent variable.Such formula could be used to generate values of given value X.

For example,

suppose a = 10 and b = 7. If X is 10, then  predicted value for Y of 45 (from 10 + 5*7). It turns out that with any two variables X and Y. In other words, there exists one formula that will produce the best, or most accurate predictions for Y given X. Any other equation would not fit as well and would predict Y with more error. That equation is called the least squares regression equation.

It minimize the squared difference between actual and predicted value.

3 0
3 years ago
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