Using excel - Identify the regression equations for the following pairs of variables (excel data included): 1. Medincome vs. Sales/Sqft 2. Medage vs. Sales/sqft 3. Loyaltycard(%) vs. salesgrwth (%) 4. sales/sqft vs. Bachdeg%

Excel Data:

 

Obs 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 Sqft Sales/Person Sales Growest | LoyallyCard 2354 2604 2453 2340 2500 2806 2250 2400 2709 1990 2392 2408 2627 2500 1986 2500 2668 2517 1251 2998 2625 2300 2761 2764 2430 2154 2400 2430 2549 2500 3653 2440 2600 2160 2800 2757 2450 2400 2270 2800 2520 2487 2629 3200 2335 2500 2449 2625 3150 2625 2741 2500 2450 2986 2967 3000 2500 2600 2800 2986 2223 2300 3799 2700 2650 2500 2994 2718 3700 2000 2400 2450 2575 2400 6.81 7.57 6.89 7.13 7.04 6.93 7.11 7.13 6.58 6.77 6.66 7.03 7.03 7.00 7.38 7.18 7.35 6.95 7.02 6.85 7.16 6.99 7.28 7.07 7.05 6.54 6.70 6.91 7.58 7.03 6.84 6.94 7.07 7.00 7.08 6.75 6.81 7.64 6.62 6.76 7.11 7.05 6.90 7.17 6.75 7.45 7.00 6.96 7.30 6.36 6.71 6.82 6.58 7.56 6.98 7.28 6.76 6.92 6.73 6.91 6.77 7.33 7.87 6.95 7.33 6.95 7.21 7.25 7.65 6.93 6.79 7.37 6.76 7.97 -8.31 -4.01 -3.94 -3.39 -3.30 -1.94 -0.77 -0.37 -0.25 -0.17 0.47 0.55 0.77 1.92 2.05 2.12 2.84 2.88 3.96 4.04 4.05 4.05 4.24 4.58 5.09 5.14 5.48 5.86 5.91 5.98 6.08 6.08 6.13 6.27 6.57 6.90 6.94 7.12 7.39 7.67 7.91 8.08 8.27 8.54 8.58 8.72 8.75 8.79 8.90 9.12 9.47 10.17 10.66 10.97 11.34 11.45 11.51 11.73 11.83 11.95 12.47 12.80 13.78 14.09 14.23 14.60 14.88 15.42 16.18 17.23 18.43 20.76 25.54 28.81 2.07 2.54 1.66 2.06 2.48 2.96 2.28 2.34 2.20 2.34 2.09 2.47 2.04 2.02 2.01 2.64 2.22 2.07 1.94 2.17 0.72 2.00 1.81 2.13 2.50 2.63 1.95 2.04 1.41 2.05 2.13 2.08 2.73 1.95 2.04 1.62 1.95 1.64 1.78 2.23 2.15 2.83 2.37 3.07 2.19 1.28 1.76 2.51 1.90 1.98 2.41 2.17 2.16 0.29 1.85 1.88 2.19 2.56 2.16 2.10 1.98 0.87 1.07 3.38 1.17 2.14 0.93 2.22 1.68 2.41 2.81 1.09 0.64 1.77 Sales/Sa Mediacome MedAge 701.97 34.4 209.93 41.2 364.92 443.04 399.20 264.64 571.59 642.25 461.45 638.82 484.38 581.09 267.71 572.84 586.48 368.73 351.47 458.24 987.12 357.45 405.77 680.80 368.02 303.95 393.90 562.12 494.88 310.07 373,46 235.81 413.08 625.22 274.30 542.62 178.56 375.33 329.09 297.37 323.17 468.84 352.57 380.34 398.12 312.15 452.16 698.64 367.19 431.33 367.06 400.53 414.36 481.11 538.06 330.48 249.93 291.87 517.40 551.58 386.81 427.50 453.94 512.46 345.27 234.04 348.33 348.47 294.95 361.14 467.71 403.78 245.74 339.94 400.82 326.54 45177 51888 51379 66081 50999 41562 44196 50975 72808 73070 78497 41245 33003 90988 37950 45206 79312 37345 46226 70024 54982 54932 34097 46593 51893 88162 89016 114353 75366 48163 49956 45990 45723 43800 68711 65150 39329 63657 67099 75151 93876 79701 77115 52766 32929 87863 73752 85366 39180 56077 77449 56822 80470 55584 78001 75307 76375 61857 61312 72040 92414 92602 59599 72453 67925 42631 75652 39650 48033 67403 80597 60928 73762 64225 40.3 35.4 31.5 36.3 35.1 37.6 34.9 34.8 36.2 32.2 30.9 37.7 34.3 32.4 32.1 31.4 30.4 33.9 35.6 35.9 33.6 37.9 40.6 37.7 36.4 40.9 35.0 26.4 37.1 30.3 31.3 29.6 32.9 40.7 29.3 37.3 39.8 33.9 35.0 35.0 35.9 33.0 30.9 38.5 40.5 32.1 34.8 38.0 37.0 34.7 36.4 36.8 32.2 34.8 36.7 33.8 34.2 39.0 34.9 39.3 35.6 36.0 41.1 24.7 40.5 32.9 30.3 36.2 32.4 43.5 41.6 31.4 BackDegr 31 20 24 29 18 50 30 14 33 28 29 39 23 22 37 24 17 37 22 36 34 26 20 c818800573 20 26 21 34 34 30 16 28 36 18 36 18 24 22 29 25 28 40 39 30 17 22 29 19 29 18 19 34 25 30 21 30 30 28 31 16 31 40 33 28 23 16 25 25 18 15 19 u 27 21 29 15