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4. (60%) Consider the following linear regression model s XIXJ YB1+B2X u, i 1,2.. .n Suppose the following sample is observed

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​​​​​Xi -) Y) nia& 2 y 4 16 10 0 4 0 4 16 06 -46 T8y 4 -327.0 32 9IG h- 4 2 EX 30 2y-20 16 -40 0 20 83.6 7-4 I.G 10 17 Σκ? =-AX Yo

ouance t OLS estinater vex(A) 27.86 Σ 2 - 0.69 40 cA)-E - Veuc (14)2 1.29 d) Coeffeient f detennuinapm is 016 =0.16x4 064 10

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