EC315 Ch14 Homework Solution

EC315 Ch14 Homework Solution - Manufacturer Screen Price...

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Unformatted text preview: Manufacturer Screen Price ($) Sharp 46 1473.00 Samsung 52 2300.00 Samsung 46 1790.00 Sony 40 1250.00 Sharp 42 1546.50 Samsung 46 1922.50 Samsung 40 1372.00 Sharp 37 1149.50 Sharp 46 2000.00 Sony 40 1444.50 Sony 52 2615.00 Samsung 32 747.50 Sharp 37 1314.50 Sharp 32 853.50 Sharp 52 2778.00 Samsung 40 1749.50 Sharp 32 1035.00 Samsung 52 2950.00 Sony 40 1908.50 Sony 52 3103.00 Sony 46 2606.00 Sony 46 2861.00 Sony 52 3434.00 20 25 30 35 40 45 50 55 0.00 500.00 1000.00 1500.00 2000.00 2500.00 3000.00 3500.00 4000.00 f(x) = 101.3416659533x - 2484.2680849242 R = 0.7966230342 SUMMARY OUTPUT Regression Statistics Multiple R 0.8925374133 R Square 0.7966230342 Adjusted R Square 0.7869384167 Standard Error 356.11800834 Observations 23 ANOVA df SS MS F Significance F Regression 1 10431776.2251147 10431776.225115 82.2565311075 1.041117E-008 Residual 21 2663220.75314614 126820.0358641 Total 22 13094996.9782609 Coefficients Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0% Upper 95.0% Intercept-2484.2680849 491.4616691056-5.0548562403 5.2661352726162E-005 -3506.3185724 -1462.2175974565 -3506.31857239 -1462.2175975 X Variable 1 101.341665953 11.1738501811 9.0695386381 1.0411165326233E-008 78.1043725032 124.5789594033 78.1043725032 124.5789594 RESIDUAL OUTPUT Observation Predicted Price ($) Residuals Standard Residuals 1 2177.4485489256-704.4485489256-2.0246829986 2 2785.4985446452-485.4985446452-1.3953902676 3 2177.4485489256-387.4485489256-1.1135809578 4 1569.3985532061-319.3985532061-0.9179958159 5 1772.0818851126-225.5818851126-0.6483536779 6 2177.4485489256-254.9485489256-0.7327575496 7 1569.3985532061-197.3985532061-0.5673508665 8 1265.3735553463-115.8735553463-0.3330366964 9 2177.4485489256-177.4485489256-0.5100117825 10 1569.3985532061-124.8985532061-0.3589757941 11 2785.4985446452-170.4985446452-0.4900365047 12 758.66522558-11.16522558-0.0320904095 13 1265.3735553463 49.1264446537 0.1411962271 14 758.66522558 94.83477442 0.2725683171 15 2785.4985446452-7.4985446452-0.0215518591 16 1569.3985532061 180.1014467939 0.5176365796 17 758.66522558 276.33477442 0.7942245329 18 2785.4985446452 164.5014553549 0.4728000369 19 1569.3985532061 339.1014467939 0.9746246694 20 2785.4985446452 317.5014553549 0.9125432932 21 2177.4485489256 428.5514510744 1.231716409 22 2177.4485489256 683.5514510744 1.9646218362 23 2785.4985446452 648.5014553549 1.863883279 30 35 40 45 50 55-1000-500 500 1000 Residual Plot Screen Residuals 30 35 40 45 50 55 1000 2000 3000 4000 Line Fit Plot Column D Column C Screen Price ($) SUMMARY OUTPUT Regression Statistics Multiple R 0.9130261572 R Square 0.8336167637 Adjusted R Square 0.81697844 Standard Error 330.0596898357 Observations 23 ANOVA df SS MS F Significance F Regression 2 10916209.0011726 5458104.50058629 50.1022087324 1.62590691E-008 Residual...
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This note was uploaded on 11/11/2011 for the course EC 315 taught by Professor Barcus during the Spring '10 term at Park.

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EC315 Ch14 Homework Solution - Manufacturer Screen Price...

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