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3 years ago

15

HELP ME please!!!! this question won’t come up

1 answer:

Alex_Xolod [135]3 years ago

7 0

Answer:

1st Option

Step-by-step explanation:

Step 1: Convert radicals to exponents

$\frac{(x^2)^{\frac{1}{7}} }{(y^3)^{\frac{1}{5} }}$

Step 2: Multiply exponents

$\frac{x^{\frac{2}{7} } }{y^{\frac{3}{5} } }}$

Step 3: Move the <em>y</em> term

$(x^{\frac{2}{7} })(y^{\frac{-3}{5} })$

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NO LINKS <br><br> Please help!!

shusha [124]

Answer:

a

Step-by-step explanation:

the total cost is 2.50$/m

5 0

3 years ago

Someone please help me with the answer. ASAP

larisa86 [58]

option a is the answer you are which class same question is there for me

7 0

3 years ago

??????????????????????????????

Anna007 [38]

You want to find the time <em>t</em> such that

$\$1000 = \$200 e^{0.04t}$

Divide both sides by $200 :

$\dfrac{\$1000}{\$200} = 5 = e^{0.04t}$

Take the logarithm of both sides:

$\ln(5) = \ln(e^{0.04t}) = 0.04t\ln(e) = 0.04t$

Divide both sides by 0.04 and solve for <em>t</em> :

$t = \dfrac{\ln(5)}{0.04} \approx 40.24 \approx \boxed{40}$

6 0

3 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

Rewrite with only sin x and cos x. (6 points) sin 2x - cos 2x

LenaWriter [7]

Answer:

2sinxcosx-2cos^2x +1

4 0

3 years ago