Hours of Television Age SUMMARY OUTPUT1 453 30 Regression Statistics4 22 Multiple R 0.98977335273 25 R Square 0.97965128976 5 Adjusted R Square 0.9728683862

Standard Error 0.29922286931a. Ho^urs of television Observations 51b. Ho^urs = b0 + b1 ageHours = 6.56 - 0.124 age ANOVA

df1d. R^2 = 98.0% Regression 198 % of variation in hours can be explained by Residual 3variation in age. Total 4

CoefficientsIntercept 6.5643302928Age -0.1245799328

1c. Test on B0 and B11) H0: B0 = 0H1: B0 =/= 0Conclude not 0. Reject H0.

2) H0: B1 = 0H1: B1=/= 0Conclude not 0. Reject H0. There is relationship between age and hours of televison.

SS MS F Significance F12.9313970235 12.9314 144.4295 0.0012395568

0.2686029765 0.08953413.2

Standard Error t Stat P-value Lower 95% Upper 95% Lower 95.0%0.2953552371 22.2252 0.000199 5.6243781098 7.50428248 5.62437810980.0103662136 -12.01788 0.00124 -0.1575698509 -0.09159001 -0.1575698509

Upper 95.0%7.5042824759

-0.0915900147

3a. Independent: Tunnel feeDependent: Traffic

b. R^2 = SSR/SST = 86.8%

c. Tunnel traffuc can be affected by other variables such as weather, number of weekend users, traffic accident, holiday etc.

d. H0: B1 = 0H1: B1=/= 0From table 2, p-value = 1.05E

e. H0: B1 = -9000H1: B1 =/= -9000Test statistic t = (b1 - B1)/Sb1

c. Tunnel traffuc can be affected by other variables such as weather, number of weekend users, traffic accident, holiday etc.

Sales Age Growth Income HS College 4a. 1695713 33.1574 0.8299 26748.51 73.5949 17.8353403862 32.6667 0.6619 53063.79 88.4557 31.94392710353 35.6553 0.9688 36090.14 73.5362 18.6198

529215.5 33.0728 0.0821 32058.07 79.178 20.6284663686.7 35.7585 0.4646 47843.42 84.1838 35.20322546324 33.8132 2.1796 50180.97 93.4996 41.70572787046 30.9797 1.8048 30710.08 78.0234 28.025

612696.1 30.7843 -0.0569 29141.7 70.2949 15.0882891822 32.3164 -0.1577 25980.15 70.6674 10.9829

1124968 32.5312 0.3664 18730.88 63.7395 13.2458909501 31.44 2.2256 31109.23 76.9059 19.55

2631167 33.1613 1.5158 35614.12 82.9452 20.8135882972.7 31.8736 0.1413 23038.43 65.2127 16.97961078573 33.4072 -1.04 34531.72 73.4944 32.992

844320.2 34.047 1.6836 30350.36 80.2201 22.31851849119 28.8879 2.3596 38964.94 87.5973 24.5673860007 36.1056 0.784 49392.77 85.3041 30.879 SUMMARY OUTPUT

826573.9 32.8083 0.1164 25595.69 65.5884 17.4545604682.9 33.0538 1.1498 29622.61 80.6176 18.6356 Regression Statistics1903612 33.4996 0.0606 31586.1 80.379 38.3249 Multiple R2356808 32.6809 1.6338 39674.56 79.8526 23.778 R Square2788572 28.5166 1.1256 28878.98 81.2371 16.93 Adjusted R

634878.3 32.8945 1.4884 24287.08 70.2244 19.1429 Standard Er2371627 30.5024 4.7937 46711.24 87.1046 30.8843 Observatio2627838 30.2922 1.8922 33449.81 80.2057 26.5571868116 31.2911 1.8667 31694.45 75.2914 28.36 ANOVA2236797 33.0498 1.7896 25459.22 77.6162 19.2491318876 32.9348 0.2707 47047.34 85.1753 35.4994 Regression1868098 31.8381 3.0129 26433.24 74.1792 18.6375 Residual1695219 31.0794 23.463 33396.66 81.6991 41.113 Total2700194 32.1807 0.7041 26179.36 73.414 17.85661156050 31.6944 -0.1569 33454.64 73.7161 26.5426 Coefficients

643858.4 34.0263 0.7084 42271.5 78.6493 29.8734 Intercept2188687 34.7315 0.1353 46514.75 80.9503 24.5374 Income

830351.9 30.5613 0.3848 27030.81 66.8057 14.1391226906 33.5183 0.7417 42910.08 77.8905 20.834

566903.6 32.3952 0.6693 40561.4 79.3622 19.0309826518.4 29.9108 0.1111 22325.96 58.361 10.6729 RESIDUAL OUTPUT

Observation1234

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SUMMARY OUTPUT

Regression Statistics0.3836450.1471840.123494849860.2

38

df SS MS F Significance F1 4.5E+012 4.5E+012 6.213077 0.017419

36 2.6E+013 7.2E+01137 3.0E+013

CoefficientsStandard Error t Stat P-value Lower 95%Upper 95%Lower 95.0%Upper 95.0%299876.8 554446.7 0.540858 0.591937 -824593 1424347 -824593 142434739.16975 15.71439 2.492604 0.017419 7.299496 71.04 7.299496 71.04

RESIDUAL OUTPUT

Predicted SalesResiduals1347609 348103.42378372 10254901713518 996834.41555583 -1026368

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2173891 -15102052265453 280871.61502783 12842631441350 -8286541317513 -4256911033561 91407.321518417 -6089171694873 9362941202286 -3193141652476 -5739021488693 -6443731826124 22995.372234579 16254281302454 -4758801460187 -8555041537096 366515.21853919 502889.11431059 13575131251196 -6163172129544 242083.11610097 10177411541340 326775.91297108 939688.82142709 -8238331335260 532837.71608016 87203.031325316 13748791610287 -4542371955641 -13117822121848 66839.551358667 -5283151980654 -7537481888657 -13217531174379 -347861

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