Need assistance creating scatter plots, displaying the regression equations, and determining the R squared using the attached data for variable pairs:

• BachDeg%versusSales/SqFt
• MedIncomeversusSales/SqFt
• MedAgeversusSales/SqFt
• LoyaltyCard(%)versusSalesGrowth(%)

Pastas R Us, Inc. Database (n = 74 restaurants) Per Person Sales Growth Over Loyalty Card % Annual Sales Median HH Median Age | % w/ Bachelor's Square Feet Average Spending |Previous Year (%) of Net Sales Per Sq Ft| Income (3 Miles (3 Miles) Degree (3 Miles Obs SqFt Sales/Person SalesGrowth% LoyaltyCard% Sales/SqFt Medincome MedAge BachDeg% 2354 6.81 8.31 2.07 701.97 45177 34.4 31 2604 7.57 4.01 2 54 209.93 51888 41.2 20 2453 6.89 -3.94 1.66 364.92 51379 40.3 24 2340 7.13 -3.39 2.06 443.04 66081 35.4 29 2500 7.04 -3.30 2.48 399.20 50999 31.5 18 2806 6.93 -1.94 2.96 264.64 41562 36.3 30 2250 7.11 -0.77 2.28 571.59 44 196 35.1 14 2400 7.13 0.37 2.34 642.25 50975 37.6 33 2709 6.58 -0.25 2.20 461.45 72808 34.9 28 1990 6.77 -0.17 2.34 638.82 7907 34.8 29 11 2392 6.66 0.47 2.09 484.38 78497 36.2 39 12 2408 7.03 0.55 2.47 581.09 41245 32.2 23 13 2627 7.03 0.77 2.04 267.71 33003 30.9 22 14 2500 7.00 1.92 2.02 572.84 9098 37.7 37 15 1986 7.38 2.05 2.01 586.48 37950 34.3 24 16 2500 7.18 2.12 2.64 368.73 45206 32.4 17 17 2668 7.35 2.84 2.22 351.47 79312 32.1 37 18 2517 6.95 2.88 2.07 458.24 37345 31.4 22 19 1251 7.02 3.96 1.94 987.12 46226 30.4 36 20 2998 6.85 4.04 2.17 357.45 70024 33.9 34 21 2625 7.16 4.05 0.72 405.77 54982 35.6 26 22 2300 6.99 4.05 2.00 680.80 54932 35.9 20 23 2761 7.28 4.24 1.81 368.02 34097 33.6 20 24 2764 7.07 4.58 2. 13 303.95 6593 37.9 26 25 2430 7.05 5.09 2.50 393.90 51893 40.6 21 26 2154 6.54 5.14 2.63 562.12 18162 37.7 37 27 2400 6.70 5.48 1.95 494.88 89016 36.4 34 28 2430 6.91 5.86 2.04 310.07 114353 40.9 34 29 2549 7.58 5.91 1.41 373.46 75366 35.0 30 30 2500 7.03 5.98 2.05 235.81 18163 26.4 16 31 3653 6.84 6.08 2.13 413.08 19956 37.1 28 32 2440 6.94 6.08 2.08 625.22 45990 30.3 36 33 2600 7.07 6.13 2.73 274.30 1572 31.3 18 34 2160 7.00 6.27 1.95 542.62 13800 29.6 36 35 2800 7.08 6.57 2.04 178.56 68711 32.9 18 36 2757 6.75 6.90 1.62 375.33 65150 40.7 24 37 2450 6.81 6.94 1.95 329.09 39329 29.3 22 38 2400 7.64 7.12 1.64 297.37 63657 37.3 29 39 2270 6.62 7.39 1.78 323.17 67099 39.8 40 2800 6.76 7.67 2.23 468.84 75151 33.9 41 2520 7.11 7.91 2. 15 352.57 93876 35.0 40 42 2487 7.05 8.08 2.83 380.34 79701 35.0 39 43 2629 6.90 8.27 2.37 398.12 77115 35.9 30 44 3200 7.17 8.54 3.07 312.15 2766 33.0 17 45 2335 6.75 8.58 2.19 452.16 32929 30.9 22 46 2500 7.45 8.72 1.28 698.64 87863 38.5 29 47 2449 7.00 8.75 1.76 367.19 73752 40.5 19 48 2625 6.96 8.79 2.51 431.93 85366 32.1 29 49 3150 7.30 8.90 1.90 367.06 9180 34.8 18 50 2625 6.96 9.12 1.98 400.53 56077 38.0 19 51 2741 6.71 9.47 2.41 414.36 77449 37.0 34 52 2500 6.82 10.17 2.17 481.11 56822 34.7 25 53 2450 6.58 10.66 2.16 538.06 80470 36.4 30 54 2986 7.56 10.97 0.29 330.48 55584 36.8 21 55 2967 6.98 11.34 1.85 249.93 78001 32.2 30 56 3000 7.28 11.45 1.88 291.87 75307 34.8 30 57 2500 6.76 11.51 2.19 517.40 6375 36.7 28 58 2600 6.92 11.73 2.56 551.58 61857 33.8 31 59 2800 6.73 11.83 2 . 16 386.81 61312 34.2 16 60 2986 6.91 11.95 2.10 427.50 72040 39 0 31 61 2223 6.77 12.47 1.98 453.94 92414 34.9 40 62 2300 7.33 12.80 0.87 512.46 92602 39.3 33 63 3799 7.87 13.78 1.07 345.27 5959 35.6 28 64 2700 6.95 14.09 3.38 234.04 72453 36.0 23 65 2650 7.33 14.23 1.17 348.33 67925 41.1 16 66 2500 6.95 14.60 2.14 348.47 12631 24.7 25 67 2994 7.21 14.88 0.93 294.95 75652 40.5 25 68 2718 7.25 15.42 2.22 361.14 39650 32.9 18 69 3700 7.65 16.18 1.68 467.71 4803 30.3 15 70 2000 6.93 17.23 2.41 403.78 57403 36.2 19 71 2400 6.79 18.43 2.81 245.74 80597 32.4 72 2450 7.37 20.76 1.09 339.94 60928 43.5 73 2575 6.76 25.54 0.64 400.82 73762 41.6 29 7A 2400 7.97 28.81 1.77 326.54 64225 31.4 15