All categories

3 years ago

Select the correct answer.

Mathematics

2 answers:

strojnjashka [21]3 years ago

7 0

The answer is number three

Lera25 [3.4K]3 years ago

6 0

Answer:

The answer is C

You might be interested in

Rewrite these problems using a negative exponent, ill give brainliest

Ira Lisetskai [31]

Answer:

I have made it in above picture hope it helps

8 0

3 years ago

Read 2 more answers

What ratios are equivalent to 5/9

NNADVOKAT [17]

Answer:

10/18 and 20/36

Step-by-step explanation:

5 0

2 years ago

Solve each equation. Explain your method.8.88=4.44(x−7)

omeli [17]

8.88=4.44(x−7)

write the equation

8.88 - 4.44=(x−7)

Transfer 4.44 to other side and it's sign changes from positive to negative

4.44=(x−7)

After subtracting we will get result as 4.44

(x−7) = 4.44

Arrange the equation as variable always comes at left side.

x−7 = 4.44

open brakets

x = 4.44 + 7

transfer 7 to other side and it changes from - to + sign

x = 11.44

8 0

2 years ago

Read 2 more answers

WILL MARK BRAINLIEST IF BOTH CORRECT!! PLEASE ANSWER!! 6TH GRADE MATH NYC??

fenix001 [56]

Answer:

19. c 20.b

Step-by-step explanation:

5 0

2 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

2 years ago