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Trava [24]
3 years ago
6

............ pls help

Mathematics
2 answers:
shtirl [24]3 years ago
6 0

Answer:

6.7

Step-by-step explanation:

a2 + b2 = c2

6 2 + b2 = 9 2

36 + b2 = 81

<u>-36 .        - 36</u>

0 .             45

45 2

6.7

rewona [7]3 years ago
4 0
6.7 i really hope this helps if not let me know asap :)
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Write a quadratic equation with the given roots. Write the equation in the form , where a, b, and c are integers. –7 and –2
larisa86 [58]

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405 degrees to radians in terms of pi
Katena32 [7]
Convert degrees to radians, multiply by π/180° , since a full circle is 360 ° 360 or 2π radians.
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3 0
3 years ago
Need step to step answer <br>(2.7×10^-3) ÷ (9×10^7)​
vredina [299]

Answer:

243,000

Step-by-step explanation:

(2.7×10^-3) ÷ (9×10^7) | Given (thanks for proper formatting :')

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7 0
3 years ago
John wants to make cookies. To make cookies, he need 2 over 3 of a cup of flour per batch of cookies. If John has 4 cups of flou
Mnenie [13.5K]
\dfrac{2}{3} \text { cups = } 1 \text { batch}

----------------------------------------------
Find 1 cup :
----------------------------------------------

1 \text { cup = } 1 \div  \dfrac{2}{3} \text { batch}

1 \text { cup = } 1 \times  \dfrac{3}{2} \text { batch}

1 \text { cup = } \dfrac{3}{2} \text { batch}

----------------------------------------------
Find 4 cups :
----------------------------------------------
4 \text { cups = } \dfrac{3}{2} \times 4 \text { batch}

4 \text { cups = } \6 \text { batches}

--------------------------------------------------------------------------------------------
Answer: John can make 6 batches with 4 cups of flour.
--------------------------------------------------------------------------------------------
6 0
4 years ago
WILL GIVE BRAINLIEST IF CORRECT!!
vfiekz [6]

Answer:

\displaystyle y=-0.927x+13.63

Step-by-step explanation:

<u>Simple Linear Regression </u>

It a function that represents the relationship between two or more variables in a given data set. It uses the method of the least-squares regression line which minimizes the error between the estimate function and the real data.

Let's compute the best-fit line for the data

x=\{1,5,6,12,15\}

y=\{14,11,4,2,1\}

First, we find the sums

\displaystyle \sum x=1+5+6+12+15=39

\displaystyle \sum y=14+11+4+2+1=32

Then, we compute the averages values

\displaystyle \bar{x}=\frac{39}{5}=7.8

\displaystyle \bar{y}=\frac{32}{5}=6.4

We will also compute the sums of the cross-products and the sum of the squares

\displaystyle \sum xy=(1)(14)+(5)(11)+(6)(4)+(12)(2)+(15)(1)=137

\displaystyle \sum x^2=1^2+5^2+6^2+12^2+15^2=1+25+36+144+225

\displaystyle \sum x^2=431

We will compute Sxy and Sxx

\displaystyle S_{xy}=\sum xy-\frac{\sum x\ \sum y}{n}

\displaystyle S_{xy}=137-\frac{(39)(32)}{5}

\displaystyle S_{xy}=-117.6

\displaystyle S_{xx}=\sum x^2-\frac{(\sum x)^2}{n}

\displaystyle S_{xx}=431-\frac{39}{5}^2=126.8

The slope of the linear regression function is given by

\displaystyle m=\frac{S_{xy}}{S_{xx}}=\frac{-117.6}{126.8}=-0.927

The y-intercept ot the linear function is

\displaystyle b=\bar{y}-b\bar{x}=6.4-(-0.927)(7.8)

\displaystyle b=13.63

Thus the best-fit line is

\displaystyle y=-0.927x+13.63

The correct option is the last one

5 0
3 years ago
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