Econometrics DrD's

Econometrics DrD's - 70 5 10 15 20 25 30 35 f(x) =...

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I xi-xbar yi - y bar x Dev * y dev (x dev)^2 1 60 29 30 10 300 900 30.814 -1.814 2 28 32 -2 13 -26 4 18.212 13.788 3 32 13 2 -6 -12 4 19.788 -6.788 4 30 17 0 -2 -0 0 19.000 -2.000 5 0 4 -30 -15 450 900 7.186 -3.186 sum 150 95 0 0 712 1808 0 average 30 19 Numer Denom b b= 0.3938053097 a= 7.185840708 I y_i - y\bar (y_dev)^2 Squaredd Residuals (y\hat - ybar)^2 1 60 29 10 100 30.814 -1.814 3.29117393688 11.814 139.574360 2 28 32 13 169 18.212 13.788 190.09820659410 -0.788 0.620330 3 32 13 -6 36 19.788 -6.788 46.07165792153 0.788 0.620330 4 30 17 -2 4 19.000 -2.000 4.00000000000 0.000 0.000000 5 0 4 -15 225 7.186 -3.186 10.14958101652 -11.814 139.574360 average 19 0 sum 534 0.000 253.61061946903 280.389381 sst= 534 sse= 253.610619 s^2 = 84.53687 SSR= 280.389381 sqrt of s^2 9.194393572 r^2 0.5250737463 % options (X variable) Change in sales (y Variable) Predicted change in sales (y hat) Residual s e_i % options (X variable) Change in sales (y Variable) Predicted change in sales (y hat) Residual s e_i y\hat - ybar 0 10 20 30 40 50 60
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Unformatted text preview: 70 5 10 15 20 25 30 35 f(x) = 0.3938053097x + 7.185840708 Column C Linear Regression for Column C Linear Regression for Column C I xi-xbar yi - y bar (x dev)^2 1 60 29 30 10 300 900 30.814-1.814 2 28 32-2 13-26 4 18.212 13.788 3 32 13 2-6-12 4 19.788-6.788 4 30 17-2-0 19.000-2.000 5 4-30-15 450 900 7.186-3.186 sum 150 95 712 1808 average 30 19 Numer Denom b b= 0.393805 a= 7.185841 % options (X variable) Change in sales (y Variable) x Dev * y dev Predicted change in sales (y hat) Residuals e_i 10 20 30 40 50 60 70 5 10 15 20 25 30 35 f(x) = 0.3938053097x + 7.185840708 Column C Linear Regression for Column C Linear Regression for Column C...
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Econometrics DrD's - 70 5 10 15 20 25 30 35 f(x) =...

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