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Varvara68 [4.7K]
3 years ago
15

In the 30-60-90 triangle below, side s has a length of hypotenuse has a length of

Mathematics
1 answer:
nydimaria [60]3 years ago
8 0
It’s g sorry if I’m wrong
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Megan ate 3/4 of a cookie. wrote and equivalent fraction for the amount of cookie Megan didn't eat
Inessa [10]
1 cookie=number/number where number stays constant so
1 cookie=1/1,2/2,3/3,4/4,5/5, etc

so if 3/4 of cookie eaten
the bottom number tells how many in the whole or 1 so
whole=4/4
4/4-3/4=1/4
1/4=not eaten
equivilent, multiply top and bottom number by same number
1/4 times 2/2=2/8
1/4 times 4/4=4/16
3 0
3 years ago
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For most answers, you will simply enter your numeric answer directly into the space provided to the right of the equal sign. Ans
Vedmedyk [2.9K]

Answer:

12 dozens of eggs I believe

Step-by-step explanation:

12 eggs are in one dozen

<em>Divide</em><em> </em><em>1</em><em>4</em><em>4</em><em> </em><em>by</em><em> </em><em>1</em><em>2</em><em>. </em><em> </em><u>1</u><u>4</u><u>4</u><u>÷</u><u>1</u><u>2</u><u>=</u><u>1</u><u>2</u>

4 0
4 years ago
Find the measure of &lt; 1.<br> 41<br> [?]<br> Enter
serious [3.7K]
The answer is 68°

step by step :
8 0
3 years ago
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A scientist estimates that there are about 10^24 stars in the universe and that each galaxy has,
chubhunter [2.5K]

Answer:

100'000'000'000'000

(trillion gaxies in the universe)

Step-by-step explanation:

10×10^10= 10(10'000'000'000)=100'000'000'000

(hundred billion stars in milky way)

100'000'000'000'000'000'000'000 (hundred sextillion stars in universe)

100'000'000'000'000'000'000'000 / 100'000'000'000= 100'000'000'000'000

(trillion gaxies in the universe)

4 0
3 years ago
The least-squares regression line is:
babunello [35]

Answer:

a. the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible.

Step-by-step explanation:

If we have N points (x_1, y_1),. ...(x_N, y_N) and we want to adjust a model y = ax+b

We can define the error associated to this like that:

E(a,b) = \sum_{n=1}^N [y_n -(ax_n +b)]^2

So as we can see here we are adding the square distances between the real and the adjusted values in order to minimize the error for this reason the correct answer is:

a. the line that makes the sum of the squares of the vertical distances of the data points from the line (the sum of squared residuals) as small as possible.

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

a=\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}

And we can find the intercept using this:

b=\bar y -m \bar x

7 0
4 years ago
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