All categories

3 years ago

Please help!!!!!!! Anyone..

Mathematics

2 answers:

Ainat [17]3 years ago

6 0

Answer:

The answer is 4.

Explanation:

I hope this helps! :)

dem82 [27]3 years ago

3 0

Answer:

option B... 4

is right option

You might be interested in

Write an expression for calculation double the product of 4 and 7

Over [174]

Answer:2(4*7)

this is an expression

Step-by-step explanation:

if you want to solve it

you would multiply 4 by 7 which gives you 28

then double 28

you would multiply 28 by 2

which then gives you an answer of 56

3 0

2 years ago

use the formula R = log I, where are is the measurement of the Richter scale and I is the intensity, to find the Richter scale m

zysi [14]

Answer:

R ≈ 7.4

Step-by-step explanation:

Substitute I = 25000000 into the equation

log(25000000 ) = R , then

R ≈ 7.4 ( to 1 dec. place )

3 0

2 years ago

What is the equation of the best-fitting regression line? Find this in two ways. First, using the regression analysis part of th

Lemur [1.5K]

Step-by-step explanation:

Regression analysis is used to infer about the relationship between two or more variables.

The line of best fit is a straight line representing the regression equation on a scatter plot. The may pass through either some point or all points or none of the points.

<u>Method 1:</u>

Using regression analysis the line of best fit is: $y=\alpha +\beta x+e$

Here <em>α </em>= intercept, <em>β</em> = slope and <em>e</em> = error.

The formula to compute the intercept is:

$\alpha =\bar y-\beta \bar x$

Here<em> </em> $\bar y$ and $\bar x$ are mean of the <em>y</em> and <em>x</em> values respectively.

$\bar y=\frac{\sum y_{i}}{n} \\\bar x=\frac{\sum x_{i}}{n}$

The formula to compute the slope is:

$\beta =\frac{\sum (x-\bar x)(y - \bar y)}{\sum (x=\bar x)^{2}}$

And the formula to compute the error is:

$e=y-\alpha -\beta x$

<u>Method 2:</u>

The regression line can be determined using the descriptive statistics mean, standard deviation and correlation.

The equation of the line of best fit is:

$(y-\bar y)=r\frac{\sigma_{x}}{\sigma_{y}} (x-\bar x)$

Here <em>r</em> = correlation coefficient = $r=\frac{Cov (x,y)}{\sqrt{\sigma^{2}_{x}\sigma^{2}_{y}} }$

$\sigma_{x}$ and $\sigma_{y}$ are standard deviation of <em>x</em> and <em>y</em> respectively.

$\sigma_{x}=\frac{1}{n}\sum (x-\bar x)^{2} \\\sigma_{y}=\frac{1}{n}\sum (y-\bar y)^{2}$

3 0

3 years ago

I need help I need to be tutored for middle school I need to be a straight A student

Yuri [45]

Answer:

Step-by-step explanation:

3 0

3 years ago

Luke has two summer jobs. During the week he works in the grocery store, and on the

TiliK225 [7]

Hello! First, let's get some important information:

Luke works in the:

week → grocery store → $16/hour
weekend → nursery → $22/hour

Now, let's analyze the questions:

<h3>a) How much does he earn if he works 5 hours at the grocery store and 8 hours at the nursery? </h3>

To find the amount he will receive, you must multiply the amount of 1 hour by the number of hours worked. Look:

$\mathrm{Grocery\:Store}\\\\\$16 \cdot 5 \:\mathrm{hours}= \$80\\\$22 \cdot 8\:\mathrm{hours}=\$176$

<h3>b) How much does he earn if he works g hours at the grocery store and n hours at the nursery?</h3>

$\$16 \cdot \mathrm{g} \:\mathrm{hours}= \$16\cdot\mathrm{g}\\\$22 \cdot \mathrm{n}\:\mathrm{hours}=\$22\cdot\mathrm{n}$

<h3>c) Total pay, 5 hours at the grocery store and 8 hours at the nursery:</h3>

You'll just have to just add the value in each of the jobs:

$80 + $176 = $256

<h3>d) Total pay, g hours at the grocery store and n hours at the nursery:</h3>

Adding the values of each job:

$16g + $22n

Hope this helps!

8 0

2 years ago