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Part 13- Simple linear regression - The University of Jordan

Part 13- Simple linear regression - The University of Jordan

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<strong>University</strong> <strong>of</strong> <strong>Jordan</strong> Agricultural Statistic (605150)Faculty <strong>of</strong> AgricultureDr. Amer SalmanDept. <strong>of</strong> Agri. Econ. & AgribusinessYXβ = -10oβ1= -5Test <strong>of</strong> Significance <strong>of</strong> Parameter EstimatesIn order to test for statistical significance <strong>of</strong> the parameter estimates <strong>of</strong> the <strong>regression</strong>the variance <strong>of</strong>bˆ o and ˆb 1is required.∑∑2var ˆx2 ibo= σu 2n xˆ 2 1varb = σu 2x∑1LiiL(1)(2)s2Sinceσ2 uis unknown, the residual variance s 2 2is used as an (unbiased) estimate <strong>of</strong>σ u:22ˆ∑ei= σu= L(3).(Where k = number <strong>of</strong> parameter estimates).n − kUnbiased estimates <strong>of</strong> the variance <strong>of</strong>bˆ o and ˆb 1are then given by:∑2222∑∑ ∑2 ˆ = eixi×⇒ ˆ ei(4) =−−× xiS boL S b2on k n xn k n x2∑e i= ( Y − Yˆ)n = number <strong>of</strong> observations.k = number <strong>of</strong> parameters.i∑i- 9 -

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