Question: Use the SAS output and formulas provided to answer the quesion when needed. The following data are annual disposable income and total annual consumption for

Use the SAS output and formulas provided to answer the quesion when needed. The following data are annual disposable income and total annual consumption for 22 families selected at random from a large metropolitan area.What

Use the SAS output and formulas provided to answer the quesion when needed.

The following data are annual disposable income and total annual consumption for 22 families selected at random from a large metropolitan area.

What is the annual consumption (Y^) when income is 44: ( don't multiplu by 1,000).

The answer is 37.37

Y^ = 9.65 + 0.63*44 = 37.37

Bo = 9.65 I don't know to get it.

is the annual consumption (Y^) when income is 44: ( don't multiplu

by 1,000).The answer is 37.37Y^ = 9.65 + 0.63*44 = 37.37Bo =

9.65 I don't know to get it. Fig. 3 Parameter Estimates Parameter

Fig. 3 Parameter Estimates Parameter Standard Variable DF Estimate Error t Value Pr > [t| 95% Confidence Limits Intercept 3.59062 income 0.63090 0.09987 The black spaces must be computed, according to the question. Fig. 4:Output Statistics Std Error Dependent Predicted Mean Obs Variable Value Predict 95% CL Mean 95% CL Predict Residual 12.0 2.6407 1.8353 36.2726 2 34.8 2.6407 -1.8353 36.2726 16.0 18.4805 2.5033 13.2588 23.7021 -0.4926 37.4535 -2.4485 A 20.8 18.4805 2.5033 13.2588 23.7021 -0.4926 37.4535 2.2875 14.0 19.7422 2.3746 14.7889 24.6956 0.8413 38.6432 -5.7422 6 17.0 19.7422 2.3746 14.7889 24.6956 0.8413 38.6432 -2.7422 7 34.8 19.7422 2.3746 14.7889 24.6956 0.8413 38.6432 15.0378 17.0 19.7422 2.3746 14.7889 24.6956 0.8413 38.6432 -2.7422 20.8 19.7422 2.3746. 14.7889 24.6956 0.8413 38.6432 1.0258 10 20.8 19.7422 2.3746 14.7889 24.6956 0.8413 38.6432 1.0258 11 20.8 1.9817 6.0866 43.4923 12 22.4 26.0512 1.9231 22.0396 30.0628 7.3750 44.7275 -3.6652 13 24.5 28.5748 1.8657 24.6830 32.4666 9.9239 47.2257 -4.0298 14 34.8 28.5748 1.8657 24.6830 32.4666 9.9239 47.2257 6.2052 15 24.5 28.5748 1.8657 24.6830 32.4666 9.9239 47.2257 -4.0298 16 36.8 36.7765 2.2311 32. 1224 41.4305 17.9518 55.6012 -0.000463 17 16.0 36.7765 2.2311 32. 1224 41.4305 17.9518 55.6012 -20.7445 18 49.5 41.1927 2.6796 35.6032 46.7823 22.1152 60.2703 8.3553 19 40.2 3.1378 25.5990 64.3573 20 34.8 3. 1378 25.5990 64.3573 21 63.3 1.3127 33.1418 71.1765 22 63.3 4.3427 33.4448 74.17652 Variables: income cons Simple Statistics Variable N Mean Std Dev Sum Minimum Maximum income 22 30.72727 19.10667 676.00000 12.00000 70.00000 cons 22 29.03364 14.76920 638.74000 12.00000 63.25400 Pearson Correlation Coefficients, N = 22 Prob > [r| under HO: Rho=0 income cons income 1.00000 0.81618 <.0001 cons fig. number of observations read used analysis variance sum mean source df squares square f value pr> F Model 3051.45057 <.0001 error corrected total the black spaces must be computed according to>

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