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san4es73 [151]
3 years ago
9

Odk even were to start on the question ​

Mathematics
1 answer:
RSB [31]3 years ago
6 0

Answer:

I thinK it's D

it might be wrong but I think it's the right answer

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Solve for X<br><br> 5/8 = 15/x <br><br> show work pls
taurus [48]
<span>5 = 15
---------
8 =  x
cross multiply
5x =120
5x÷5 = 120÷5
x = 24

Check
5/8 = 15/24
.625 = .625
</span><span>
</span>
4 0
3 years ago
Allie has $20 to spend to take some friends bowling. It costs $4 per person to rent shoes. The bowling alley is running a specia
forsale [732]

Answer:

Step-by-step explanation: she can have four people go and have the last 4 dollers can go in to her buying the lanes

4 0
3 years ago
Read 2 more answers
Is 12/42=10/35 a true proportion
olya-2409 [2.1K]
Yes, they both are 2/7

Proof: Left-hand side

Simplify the following:
12/42

The gcd of 12 and 42 is 6, so 12/42 = (6×2)/(6×7) = 6/6×2/7 = 2/7:
Answer:  2/7
Right-hand side:

Simplify the following:
10/35
The gcd of 10 and 35 is 5, so 10/35 = (5×2)/(5×7) = 5/5×2/7 = 2/7:
Answer:  2/7
3 0
3 years ago
Evaluate 20 + 6x when x = 0.
bulgar [2K]

Answer:

If x=0 then the answer is 20.

Step-by-step explanation:

7 0
2 years ago
Read 2 more answers
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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