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C. Calculate the y-intercept, slope, and draw a Exercises For each of the problems below: A. Draw a scatterplot. B. Calculate
B-F
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ΣX ΣY Σ(x-x̅)² Σ(y-ȳ)² Σ(x-x̅)(y-ȳ)
total sum 74.00 56.00 293.33 151.3 205.33
mean 12.33 9.33 SSxx SSyy SSxy

b) correlation coefficient ,    r = SSxy/√(SSx.SSy) =   0.9746

c)

Sample size,   n =   6
here, x̅ = Σx / n=   12.333  
ȳ = Σy/n =   9.333  
SSxx =    Σ(x-x̅)² =    293.3333
SSxy=   Σ(x-x̅)(y-ȳ) =   205.3
      
estimated slope , ß1 = SSxy/SSxx =   205.3333/293.3333=   0.7000
intercept,ß0 = y̅-ß1* x̄ =   9.3333- (0.7 )*12.3333=   0.7000

Scatterplot 18 16 14 12 10 8 6 4 2 0 0 5 10 15 20 25 х

d)

Regression line is, Ŷ=   0.700   + (   0.700   )*x

e)

R² =    (SSxy)²/(SSx.SSy) =    0.950
Approximately    94.98%   of variation in observations of variable Y, is explained by variable x

f)

Ho:   ρ = 0  
Ha:   ρ ╪ 0  
n=   6  
alpha,α =    0.05  
correlation , r=   0.9746  
t-test statistic = r*√(n-2)/√(1-r²) =        8.6977
DF=n-2 =   4  
p-value =    0.0010  
Decison:   p value < α , So, Reject Ho  

There is enough evidence of significant correlation

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