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Mashutka [201]
3 years ago
6

At each stop, you get a snack. Stop 1 you spent a total of $12.50 and gave the cashier $15. How much change did you receive back

?
Mathematics
2 answers:
goldfiish [28.3K]3 years ago
4 0

Answer:

2 dollars and 50 cents

Step-by-step explanation:

Nataliya [291]3 years ago
3 0

Answer:

$2.50

Step-by-step explanation:

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8. Sven sells hamburgers at a ballpark. He earns $14.50/h, plus $0.50
Komok [63]

Answer:

Part A: $55.50

Part B: 52 hamburgers(sorry if I am wrong for part b but I think it is right)

Step-by-step explanation:

Part A:     $14.50 x 3= $43.50  +         24 x $0.50= $12=        

 ($ earned per hrs  x hrs worked)+  ($ per hamburger sold x times amount)

Hence $43.50 + $12= $55.50.

Part B:        $14.50 x 6.5 = $94.25                           $120 - $94.25= $25.75

 ($ earned per hrs  x hrs worked x x hrs worked)   ($ earned - $ earn from shif

 $25.75/0.50=51.5 (51.5 rounded to nearest burgers is 52 burgers)

Hence answer is 52 burgers.

Please rate Good and mark Brainliest

Thank You

5 0
3 years ago
Find the exact length of the polar curve. r = θ2, 0 ≤ θ ≤ 3π/2
Pepsi [2]
Hello my friend it is the 21 and 31
7 0
3 years ago
Read 2 more answers
Modern medical practice tells us not to encourage babies to become too fat. Is there a positive correlation between the weight x
Anna11 [10]

Answer:

a) Figure attached

b) y=1.31 x +98.57

c) The correlation coefficient would be r =0.47719

d) y=1.31 x +98.57=1.31*21 + 98.57 =126.08

Step-by-step explanation:

(a) Draw a scatter diagram for the data.

See the figure attached

(b) Find x, y, b, and the equation of the least-squares line. (Round your answers to three decimal places.) x =__ y =__ b =__ y =__ + __x

m=\frac{S_{xy}}{S_{xx}}

Where:

S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i)}{n}

S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}

With these we can find the sums:

S_{xx}=\sum_{i=1}^n x^2_i -\frac{(\sum_{i=1}^n x_i)^2}{n}=6576-\frac{300^2}{14}=147.429

S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i){n}}=38186-\frac{300*1773}{14}=193.143

And the slope would be:

m=\frac{193.143}{147.429}=1.31

Nowe we can find the means for x and y like this:

\bar x= \frac{\sum x_i}{n}=\frac{300}{14}=21.429

\bar y= \frac{\sum y_i}{n}=\frac{1773}{14}=126.643

And we can find the intercept using this:

b=\bar y -m \bar x=126.643-(1.31*21.429)=98.571

So the line would be given by:

y=1.31 x +98.57

(c) Find the sample correlation coefficient r and the coefficient of determination r?2. (Round your answers to three decimal places.)

n=14 \sum x = 300, \sum y = 1773, \sum xy=38186, \sum x^2 =6576, \sum y^2 =225649  

And in order to calculate the correlation coefficient we can use this formula:

r=\frac{n(\sum xy)-(\sum x)(\sum y)}{\sqrt{[n\sum x^2 -(\sum x)^2][n\sum y^2 -(\sum y)^2]}}

r=\frac{14(38186)-(300)(1773)}{\sqrt{[14(6576) -(300)^2][14(225649) -(1773)^2]}}=0.9534

So then the correlation coefficient would be r =0.47719

What percentage of variation in y is explained by the least-squares model? (Round your answer to one decimal place.)

The % of variation is given by the determination coefficient given by r^2 and on this case 0.47719^2 =0.2277, so then the % of variation explaines is 22.8%.

(d) If a female baby weighs 21 pounds at 1 year, what do you predict she will weigh at 30 years of age? (Round your answer to two decimal places.) ___ lb

So we can replace in the linear model like this:

y=1.31 x +98.57=1.31*21 + 98.57 =126.08

7 0
3 years ago
³√73-(-3)², calculate the value​
Vitek1552 [10]
The value of this equation is: 4
Answer: 4
6 0
3 years ago
I think of a number, add 3 to it and multiply the result by 7.
Alla [95]

Answer:

7(x + 3)

<em>Step-by-step explanation</em>

<em>thinked number = x</em>

<em>add 3 = +3 </em>

x + 3

<em>multiply</em><em> </em><em>the</em><em> </em><em>result</em><em> </em><em>by</em><em> </em><em>7</em>

<em>7(  x+ 3)</em>

<em>hope</em><em> </em><em>this</em><em> </em><em>helps</em>

<em>brainliest</em><em> </em><em>appreciated</em>

<em>good</em><em> </em><em>luck</em><em>!</em><em> </em><em>have</em><em> </em><em>a</em><em> </em><em>nice</em><em> </em><em>day</em><em>!</em>

6 0
3 years ago
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