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Given the following sample observations, draw a scatter diagram on a separate pi

ID: 3154869 • Letter: G

Question

Given the following sample observations, draw a scatter diagram on a separate piece of paper. (Round your answers to 3 decimal places.)

X:

-8

-15

13

4

16

Y:

56

246

157

2

340

The coefficient of correlation is .

Does the relationship between the variables appear to be linear?

Given the following sample observations, draw a scatter diagram on a separate piece of paper. (Round your answers to 3 decimal places.)

X:

-8

-15

13

4

16

Y:

56

246

157

2

340

The coefficient of correlation is .

Does the relationship between the variables appear to be linear?


Try squaring the X- variable and then determine the correlation coefficient. .

Explanation / Answer

a.

Correlation

r( X,Y) =    Co V ( X,Y) / S.D (X) * S.D (y)                      
r( X,Y) =    Sum(XY) / N- Mean of (X) * Mean of (Y) / Sqrt( X^2/n - ( Mean of X)^2 ) Sqrt( Y^2/n - ( Mean of Y)^2 )                        
                          
Co v ( X, Y ) =   1 /5 (3351) - [ 1/5 *10 ] [ 1/5 *801] =            349.8          
S. D ( X ) =   Sqrt( 1/5*730-(1/5*10)^2)           11.916          
S .D (Y) =    Sqrt( 1/5*203905-(1/5*801)^2)           122.951          
r(x,y) =    349.8 / 11.916*122.951   =   0.2388              
                          
If r = 0.2388> 0 ,Positive Correlation                          

b. SQUARE THE X VARIABLE

r( X,Y) =    Co V ( X,Y) / S.D (X) * S.D (y)                      
r( X,Y) =    Sum(XY) / N- Mean of (X) * Mean of (Y) / Sqrt( X^2/n - ( Mean of X)^2 ) Sqrt( Y^2/n - ( Mean of Y)^2 )                        
                          
Co v ( X, Y ) =   1 /5 (172539) - [ 1/5 *730 ] [ 1/5 *801] =            11118.6          
S. D ( X ) =   Sqrt( 1/5*149074-(1/5*730)^2)           92.189          
S .D (Y) =    Sqrt( 1/5*203905-(1/5*801)^2)           122.951          
r(x,y) =    11118.6 / 92.189*122.951   =   0.9809              
                          
If r = 0.9809> 0 ,Perfect Positive Correlation                          
                          

( X) ( Y) X^2 Y^2 X*Y -8 56 64 3136 -448 -15 246 225 60516 -3690 13 157 169 24649 2041 4 2 16 4 8 16 340 256 115600 5440 10 801 730 203905 3351 = TOTALS
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