Project 2 Data

Project 2 Data - SqFt 701.97 2354 209.93 2604 364.92 2453...

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Unformatted text preview: SqFt 701.97 2354 209.93 2604 364.92 2453 443.04 2340 399.20 2500 264.64 2806 571.59 2250 642.25 2400 461.45 2709 638.82 1990 484.38 2392 581.09 2408 267.71 2627 572.84 2500 586.48 1986 368.73 2500 351.47 2668 458.24 2517 987.12 1251 357.45 2998 405.77 2625 680.80 2300 368.02 2761 303.95 2764 393.90 2430 562.12 2154 494.88 2400 310.07 2430 373.46 2549 235.81 2500 413.08 3653 625.22 2440 274.30 2600 542.62 2160 178.56 2800 375.33 2757 329.09 2450 297.37 2400 323.17 2270 468.84 2800 352.57 2520 380.34 2487 398.12 2629 312.15 3200 452.16 2335 698.64 2500 367.19 2449 431.93 2625 367.06 3150 400.53 2625 Annual Sales / Sq Ft ($) 414.36 2741 481.11 2500 538.06 2450 330.48 2986 249.93 2967 291.87 3000 517.40 2500 551.58 2600 386.81 2800 427.50 2986 453.94 2223 512.46 2300 345.27 3799 234.04 2700 348.33 2650 348.47 2500 294.95 2994 361.14 2718 467.71 3700 403.78 2000 245.74 2400 339.94 2450 400.82 2575 326.54 2400 Regression Analysis r² 0.247 n 74 r -0.497 k 1 Std. Error 119.948 Dep. Var. Annual Sales / Sq Ft ($) ANOVA table Source SS df MS F p-value Regression 339,041.5786 1 339,041.5786 23.57 6.80E-06 Residual 1,035,894.8939 72 14,387.4291 Total 1,374,936.4725 73 1000 1500 2000 2500 3000 3500 4000- 200.00 400.00 600.00 800.00 1,000.00 1,200.00 f(x) = -0.182 x + 889.364 R² = 0.247 Revenue Per Square Foot for National Restaurant Chain SqFt Annual Sales / Sq Ft ($) Regression output confidence interval variables coefficients std. error t (df=72) p-value 95% lower 95% upper Intercept 889.3637 97.6264 9.110 1.30E-13 694.7490 1,083.9785 SqFt-0.1818 0.0374 -4.854 6.80E-06-0.2564 -0.1071 Regression Analysis r² 0.247 n 74 r -0.497 k 1 Std. Error 119.948 Dep. Var. Annual Sales / Sq Ft ($) ANOVA table Source SS df MS F p-value Regression 339,041.5786 1 339,041.5786 23.57 6.80E-06 Residual 1,035,894.8939 72 14,387.4291 Total 1,374,936.4725 73 Regression output confidence interval variables coefficients std. error t (df=72) p-value 95% lower 95% upper Intercept 889.3637 97.6264 9.110 1.30E-13 694.7490 1,083.9785 SqFt-0.1818 0.0374 -4.854 6.80E-06-0.2564 -0.1071 Studentized Studentized Deleted Observation Annual Sales / Sq Ft ($) Predicted Residual Leverage Residual Residual 1 701.970 461.472 240.498 0.019 2.024 2.069 2 209.927 416.029 -206.101 0.014-1.730-1.755 3 364.917 443.476 -78.559 0.015-0.660-0.657 4 443.036 464.017 -20.981 0.019-0.177-0.175 5 399.205 434.933 -35.728 0.014-0.300-0.298 6 264.641 379.311 -114.670 0.018-0.965-0.964 7 571.592 480.376 91.216 0.024 0.770 0.768 8 642.247 453.110 189.137 0.017 1.590 1.608 9 461.454 396.943 64.511 0.015 0.542 0.539 10 638.821 527.637 111.184 0.047 0.950 0.949 11 484.381 454.565 29.816 0.017 0.2510....
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This homework help was uploaded on 03/17/2009 for the course BCOR 1020 taught by Professor Liang,fang during the Fall '07 term at Colorado.

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Project 2 Data - SqFt 701.97 2354 209.93 2604 364.92 2453...

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