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Because of high tuition costs at state and private universities, enrollments at community colleges have increased dramaticall

(b) Use simple linear regression analysis to find the parameters for the line that minimizes MSE for this time series. If req

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x y (x-x̅)² (y-ȳ)² (x-x̅)(y-ȳ)
1 6.5 16.00 30.25 22.00
2 8.1 9.00 15.21 11.70
3 8.4 4.00 12.96 7.20
4 10.2 1.00 3.24 1.80
5 12.5 0.00 0.25 0.00
6 13.3 1.00 1.69 1.30
7 13.7 4.00 2.89 3.40
8 17.2 9.00 27.04 15.60
9 18.1 16.00 37.21 24.40
ΣX ΣY Σ(x-x̅)² Σ(y-ȳ)² Σ(x-x̅)(y-ȳ)
total sum 45 108 60 130.7 87.40
mean 5.00 12.00 SSxx SSyy SSxy

sample size ,   n =   9          
here, x̅ = Σx / n=   5.00   ,     ȳ = Σy/n =   12.00  
                  
SSxx =    Σ(x-x̅)² =    60.0000          
SSxy=   Σ(x-x̅)(y-ȳ) =   87.4          
                  
estimated slope , ß1 = SSxy/SSxx =   87.4   /   60.000   =   1.45667
                  
intercept,   ß0 = y̅-ß1* x̄ =   4.71667          

intercept = 4.72

slope = 1.46

MSE=(SSE/(n-2)) = 0.49

c)

Predicted Y at X=   10   is                  
Ŷ =   4.72 +   1.46 *   10   =   19.28

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