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bus A study was done to look at the relationship between number of lovers college students have had in their lifetimes and th
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Answer #1

a)

ΣX ΣY Σ(x-x̅)² Σ(y-ȳ)² Σ(x-x̅)(y-ȳ)
total sum 34.00 25.10 35.56 0.91 -4.12
mean 3.78 2.79 SSxx SSyy SSxy

correlation coefficient ,    r = SSxy/√(SSx.SSy) =   -0.725

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

b)

Ho:   ρ = 0  
Ha:   ρ ╪ 0  
n=   9  

alpha,α =    0.05  
correlation , r=   -0.7251  
t-test statistic = r*√(n-2)/√(1-r²) =        -2.7861
DF=n-2 =   7  
p-value =    0.0271  
Decison:   p value < α , So, Reject Ho  

.

c)

There is statistically significant evidence to conclude that there is a correlation between the number of lovers students hav

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

d)

R² =    (SSxy)²/(SSx.SSy) =    0.53

e)

There is a 53% chance that the regression line will be a good predictor for GPA based on the number of lovers a student has h

.........

f)

Sample size,   n =   9      
here, x̅ = Σx / n=   3.778          
ȳ = Σy/n =   2.789          
SSxx =    Σ(x-x̅)² =    35.5556      
SSxy=   Σ(x-x̅)(y-ȳ) =   -4.1      
              
estimated slope , ß1 = SSxy/SSxx =   -4.1222/35.5556=   -0.1159      
intercept,ß0 = y̅-ß1* x̄ =   2.7889- (-0.1159 )*3.7778=   3.2269      
              
Regression line is, Ŷ=   3.23   + (   -0.12   )*x

....

g)

Predicted Y at X=   5   is          
Ŷ=   3.22688   +   -0.11594   *5=   2.6

.....

h)

.O For every additional lover students have, their GPA tends to decrease by 0.12.

i)

The best prediction for the GPA of a student who has never had a lover is 3.23.

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

Please let me know in case of any doubt.

Thanks in advance!


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