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How much should a healthy Shetland pony weigh? Let x be the age of the pony...

How much should a healthy Shetland pony weigh? Let x be the age of the pony (in months), and let y be the average weight of the pony (in kilograms).

x 3 6 12 20 26
y 60 95 140 170 177

(a) Make a scatter diagram of the data.

Then visualize the line you think best fits the data.

(b) Use a calculator to verify that ?x = 67, ?x2 = 1265, ?y = 642, ?y2 = 92,454, and ?xy = 10,432.

(c) Compute r. (Round to 3 decimal places.)

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Answer #1

A )

We have to find scatter plot

By using the excel we can find out the scatter plot as

First enter all data in excel

Select all data ----------> Click on Insert --------> Scatter ------->Click on first graph ------> OK

***FOR ADDING THE REGRESSION LINE ON SCATTER DIAGRAM**

Right click on any point on scatter diagram --------> Add treadline ----------> Click on Display Equation chart ---> OK

We get the output as

Book1 - Excel Sign in -0 Insert Page Layout FormulasData Review View Help Tell me what you want to do Cut Copy . Format Paint

yes the regression line best fits the data.

B ) By using calculator we can calculate it as

x y x^2 y^2 x*y
3 60 9 3600 180
6 95 36 9025 570
12 140 144 19600 1680
20 170 400 28900 3400
26 177 676 31329 4602
Total 67 642 1265 92454 10432

C ) Correlation coefficient ( r ) gives the strength of linear relationship between x and y.

Correlation Coefficient ( r) can be calculated as

r = \frac{\sum (x-\bar x)*(y-\bar y) }{\sqrt{\sum (x-\bar x)^2*\sum (y-\bar y)^2})}

From the given data we get

\bar x =\frac{\sum x}{n}=\frac{67}{5}=13.4

\bar y =\frac{\sum y}{n}=\frac{642}{5}=128.4

we can calculate the correlation coefficient as

x y ( x-xbar ) (y-ybar) (x-xbar)*(y-ybar) ( x-xbar )^2 (y-ybar)^2
3 60 -10.4 -68.4 711.36 108.16 4678.56
6 95 -7.4 -33.4 247.16 54.76 1115.56
12 140 -1.4 11.6 -16.24 1.96 134.56
20 170 6.6 41.6 274.56 43.56 1730.56
26 177 12.6 48.6 612.36 158.76 2361.96
Total 67 642 1829.2 367.2 10021.2
xbar 13.4
ybar 128.4

we get   r = \frac{\sum (x-\bar x)*(y-\bar y) }{\sqrt{\sum (x-\bar x)^2*\sum (y-\bar y)^2})}

From the above data put all the values we get   

r = \frac{1829.2 }{\sqrt{367.2*10021.2}}

we get  r=0.954 .......( Answer )

we get Correlation coefficient = r = 0.954   .......( Answer )

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