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Marta_Voda [28]
3 years ago
9

A family needs to build fencing around their rectangular

Mathematics
2 answers:
lilavasa [31]3 years ago
8 0

Answer:

38

160

40

Step-by-step explanation:

If you are given a rectangular home and a square swimming pool, with dimensions of Pool = 2x & home = (2 +5x) & (3+10x) The total amount of fencing they need can be written as x + 10. If x = 5; The family needs 5 yards of fencing for their home. The family needs 10 yards of fencing for their pool.

may I have brainliest?

cluponka [151]3 years ago
5 0
38

160

40

Hope it helps
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Answer:

2 miles

Step-by-step explanation:

15 miles - 9 miles = 6 miles

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Lacy has a $1000 bond with a 6.2% coupon that she purchased for $1025. What is the yield of this bond? Round your answer to 2 de
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Hi im new and i need help picture below, please help, thank you :)
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What is the equation of this line?
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An economist is studying the job market in Denver area neighborhoods. Let x represent the total number of jobs in a given neighb
lbvjy [14]

Answer:

a) \sum X = 13+34+52+28+50+25 =202

\sum Y = 1+4+5+5+9+3= 27

\sum X^2 = 13^2+34^2+52^2+28^2+50^2+25^2 = 1074

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{6(1074)-(202)(27)}{\sqrt{[6(7938) -(202)^2][6(157) -(202)^2]}}=0.821  

b) m=\frac{165}{1137.33}=0.145  

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

\bar x= \frac{\sum x_i}{n}=\frac{202}{6}=33.67  

\bar y= \frac{\sum y_i}{n}=\frac{27}{6}=4.5  

And we can find the intercept using this:  

b=\bar y -m \bar x=4.5-(0.145*33.67)=-0.384  

So the line would be given by:  

y=0.145 x -0.384  

c) The coefficient of variation is given by:

r^2 = 0.821^2 = 0.674

And we can conclude that 67.4% of the variation in y can be explainedby the corresponding variation in x and the least-squares line

d) For this case we just need to replade x = 34 into our model and we got:

y=0.145*34 -0.384= 3.097  

Step-by-step explanation:

For this case we have the following data:

x 13 34 52 28 50 25

y 1 4 5 5 9 3

Part a

\sum X = 13+34+52+28+50+25 =202

\sum Y = 1+4+5+5+9+3= 27

\sum X^2 = 13^2+34^2+52^2+28^2+50^2+25^2 = 1074

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{6(1074)-(202)(27)}{\sqrt{[6(7938) -(202)^2][6(157) -(202)^2]}}=0.821  

Part b

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}=7938-\frac{202^2}{6}=1137.33  

S_{xy}=\sum_{i=1}^n x_i y_i -\frac{(\sum_{i=1}^n x_i)(\sum_{i=1}^n y_i){n}}=1074-\frac{202*27}{6}=165  

And the slope would be:  

m=\frac{165}{1137.33}=0.145  

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

\bar x= \frac{\sum x_i}{n}=\frac{202}{6}=33.67  

\bar y= \frac{\sum y_i}{n}=\frac{27}{6}=4.5  

And we can find the intercept using this:  

b=\bar y -m \bar x=4.5-(0.145*33.67)=-0.384  

So the line would be given by:  

y=0.145 x -0.384  

Part c

The coefficient of variation is given by:

r^2 = 0.821^2 = 0.674

And we can conclude that 67.4% of the variation in y can be explainedby the corresponding variation in x and the least-squares line

Part d

For this case we just need to replade x = 34 into our model and we got:

y=0.145*34 -0.384= 3.097  

3 0
4 years ago
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