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Consider the following data set that contains information about the average price of a gallon of milk in ten randomly chosen
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Answer #1

A)

there appears to be POSITIVE association beween two variables

...............

ΣX ΣY Σ(x-x̅)² Σ(y-ȳ)² Σ(x-x̅)(y-ȳ)
total sum 32.64 32.40 2.35 0.91 1.38
mean 3.26 3.24 SSxx SSyy SSxy

Sample size,   n =   10      
here, x̅ = Σx / n=   3.264          
ȳ = Σy/n =   3.240          
SSxx =    Σ(x-x̅)² =    2.3462      
SSxy=   Σ(x-x̅)(y-ȳ) =   1.4      
              
estimated slope , m = SSxy/SSxx =   1.3784/2.3462=   0.587

  
intercept,ß   = y̅-ß1* x̄ =   3.24- (0.5875 )*3.264=   1.322   
              
Regression line is, Ŷ=   1.322 + (   0.587   )*x


              
correlation coefficient ,    r = SSxy/√(SSx.SSy) =   0.941

hence there is positive relationship


R² =    (SSxy)²/(SSx.SSy) =    0.885

............

Predicted Y at X=   3.15   is          
Ŷ=   1.32242   +   0.58749   *3.15=   3.17

.................

3.16 = 1.32242   +   0.58749   *x

x =(3.16-1.322)/0.587
=3.13

.................

Please let me know in case of any doubt.

Thanks in advance!


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