CH5-4 PRACTICE.xlsx - Run the polynomial regression model...

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Run the polynomial regression model belowE(PRICE) =+AGE +SQFT +SQFT²β₁β₂β₃b+ bx+ bx+ bx ²₂ ₂₃ ₃₄ ₃Print the regression output below:Print the var/cov matrix below:b1b2b3b4b1b2b3b4Find the predicted price given the following values for the control variables:AGE =10SQFT =2000x*_ijIntercept1AGE10SQFT2000SQFTsq4000000Build an interval estimate for the mean price of house where AGE = 10 and SQFT = 2000y =y* =β₄
(L, U) =x11x210x32000x44000000x4 = x3^2vb1x1^2vb2x2^2vb3x3^2vb4x4^2cb1b22*x1x2cb1b32*x1x3cb1b42*x1x4cb2b32*x2x3cb2b42*x2x4cb3b42*x3x4var(y*) =se(y*) =t_0.025,df =MOE =L =U =Find the marginal effect of SQFT when SQFT = 2000Intercept0AGE0SQFT1SQFTsq4000Build a 95% interval estimate for the marginal effect of SQFT when SQFT = 2000.(L, U) =var(b+ 2bx) =₄ ₃2000x10x20y* ± t/2,dfαse(b+ bx+ bx+ bx ²)₂ ₂₃ ₃₄ ₃var(y*) = var(b+ bx+ bx+ bx²) =₂ ₂₃ ₃₄ ₃SQFT = x∂y/∂x=b+ 2bx₄ ₃∂y/∂x=b+ 2bx₄ ₃b+ 2bx± t₄ ₃/2,dfαse(b+ 2bx )₄ ₃var(b) + (2x)²var(b) + 2(2x)cov(b ,b )x* =
x31x44000 x_4 = 2x_3vb1x1^2vb2x2^2vb3x3^2vb4x4^2cb1b22*x1x2cb1b32*x1x3cb1b42*x1x4cb2b32*x2x3cb2b42*x2x4cb3b42*x3x4var(y*) =se(y*) =t_0.025,df =MOE =L =U =
PRICEAGESQFTSQFTsq899503991784088913895010168428358568700020180032400001650001319003610000210000202000400000010800040105011025008900045105711172497900069549101161245004713501822500135000132134455395610550012131317239691336503716712792241835001812001440000101000451314172659615150010187735231298850038113212814241980002219848312041350001015252325625795002912081459264135050351450210250017500092000400000071000181267160528976000121088118374499250351159134328198500412551575025117500301386192099697000631400196000012500012144220793641150002314772181529145000615662452356820004516002560000160000719853940225850001410221044484102950711001210000155000321200144000088000401008101606410050041368187142410600010150022500001435001315402371600205000341800324000015500027200040000001100003792485377699000811481317904150000112150462250017400059185034225001070003013611852321122500114602131600103000131120125440033000439008100001070004113061705636
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