In: Statistics and Probability
Ho: ß1= 0
H1: ß1╪ 0
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x | y | (x-x̅)² | (y-ȳ)² | (x-x̅)(y-ȳ) |
63 | 110 | 4.0000 | 58.1406 | 15.250 |
63 | 118 | 4.0000 | 0.1406 | -0.750 |
63 | 103 | 4.0000 | 213.8906 | 29.250 |
66 | 120 | 1.0000 | 5.6406 | 2.375 |
68 | 125 | 9.0000 | 54.3906 | 22.125 |
64 | 125 | 1.0000 | 54.3906 | -7.375 |
64 | 120 | 1.0000 | 5.6406 | -2.375 |
69 | 120 | 16.0000 | 5.6406 | 9.500 |
ΣX | ΣY | Σ(x-x̅)² | Σ(y-ȳ)² | Σ(x-x̅)(y-ȳ) | |
total sum | 520.00 | 941.00 | 40.00 | 397.88 | 68.00 |
mean | 65.00 | 117.63 | SSxx | SSyy | SSxy |
sample size , n = 8
here, x̅ = Σx / n= 65.000 ,
ȳ = Σy/n =
117.625
1.809615385
SSxx = Σ(x-x̅)² = 40.0000
SSxy= Σ(x-x̅)(y-ȳ) = 68.0
estimated slope , ß1 = SSxy/SSxx = 68.0
/ 40.000 = 1.70000
estimated std error of slope =Se(ß1) = Se/√Sxx =
6.859 /√ 40.00 =
1.0845
t stat = estimated slope/std error =ß1 /Se(ß1) =
1.7000 / 1.0845 =
1.5675
t-critical value= 2.4469 [excel function:
=T.INV.2T(α,df) ]
Degree of freedom ,df = n-2= 6
p-value = 0.1680
decison : p-value>α , do not reject Ho
Conclusion: do not Reject Ho , so there is no enough
evidence of significant relationship
b)
precdicted final score= ȳ = 117.625
(please try 127.83 if above gets wrong)