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Calories (X) Protein (Y) 380 840 1130 750 920 540 300 510 430 770 380 620 530 700 250 290 640 580 740 350
Calories (X) Protein (Y) 380 840 1130 750 920 540 300 510 430 770 380 620 530 700 250 290 640 580 740 350 380 480 580 520 680 570 530 530 670 MICRC323352373322222222222222 y=0.0705x-4.4601 R = 0.8758 Relationship of Calories and Protein in Fast Food Items from McDonald's 46 y=0.0705x-4.4601 70 Relationship of Calories and Protein in Fast Food Items from McDonald's R = 0.8758 55 200 46 15 Amount of Protein 150 100 50 0 500 1000 1500 2000 2500 3000 51 Calories 15 42 Protein(Y) SESS 95 85 75 65 55 35 25 15 100 600 1100 1600 2100 2600 Calories (X) 13 24 Calories (X) Protein (Y) Calories (X) 1 SUMMARY OUTPUT 48 Protein (Y) 0.93585982 1 39 Regression Statistics 15 Multiple R 0.935859824 29 R 0.93585982 Slope 0.07045683 Intercept -4.46009036 R Square 0.875833611 Adjusted R Square 0.873445795 Standard Error 9.255908709 40 Quartile 01 32.75 Observations 54 31 Quartile 02 160 28 Quartile 03 530 ANOVA Quartile 04 2430 31 df SS Regression Residual 1 31423.82327 MS 31423.82327 F Significance F 366.7928814 3.26296E-25 52 4454.935994 85.67184604 SUMMARY OUTPUT Regression Statistics Multiple R 0.935859824 R Square 0.875833611 Adjusted R Square 0.873445795 Standard Error 9.255908709 Observations 54 ANOVA df Regression Residual Total SS MS F Significance F 1 31423.82327 31423.82327 366.7928814 3.26296E-25 52 4454.935994 53 35878.75926 85.67184604 Residuals 40 Calories (X) Residual Plot 20 Coefficients Intercept -4.460090361 2.495391838 Calories (X) 0.070456827 Standard Error 0.003678855 t Stat -1.787330668 19.15183755 P-value 0.079712725 3.26296E-25 Lower 95% Upper 95% Lower 95.0% Upper 95.0% -9.467460421 0.54728 -9.46746042 0.063074665 0.07784 0.06307467 -20 0.5472797 0.07783899 RESIDUAL OUTPUT PROBABILITY OUTPUT Observation Predicted Protein (Y) Residuals Standard Residuals 1 22.31350402 2 54.72364458 14.68649598 -8.72364458 1.601899963 Percentile Protein (Y) 0.925925926 -0.951513958 3 75.1561245 -5.1561245 -0.562393892 4 48.38253012 6.61746988 0.721787196 5 60.36019076 -14.3601908 -1.566308878 2.777777778 4.62962963 6.481481481 8.333333333 14 N78031 6 33.58659639 -8.58659639 -0.936565703 10.18518519 15 500 1000 1500 2000 2500 Calories (X) Calories (X) Line Fit Plot 3000 200 Protein (Y) 150 100 Protein (Y) 50 Predicted Protein (Y) 0 0 1000 2000 3000 Calories (X) Normal Probability Plot 5 60.36019076 -14.3601908 -1.566308878 8.333333333 14 6 33.58659639 -8.58659639 -0.936565703 10.18518519 15 7 16.67695783 -1.67695783 -0.182910797 12.03703704 15 8 31.47289157 -6.47289157 -0.706017608 13.88888889 15 9 10 11 25.83634538 -0.83634538 49.79166667 1.208333333 22.31350402 -7.31350402 -0.091222688 15.74074074 15 0.131796524 17.59259259 23 -0.797705717 19.44444444 24 12 39.22314257 -7.22314257 -0.787849725 21.2962963 24 13 14 15 16 32.88202811 9.117971888 44.85968876 -11.8596888 13.15411647 -0.15411647 15.97238956 8.027610442 0.994524415 23.14814815 25 -1.293571659 25 25 -0.016809943 26.85185185 25 0.875595437 28.7037037 25 17 18 19 40.63227912 -3.63227912 36.40486948 11.59513052 47.67796185 -8.67796185 -0.396183527 30.55555556 25 1.264715503 32.40740741 28 -0.946531206 34.25925926 28 20 20.1997992 -5.1997992 -0.567157622 36.11111111 28 21 22.31350402 0.686495984 0.074878166 37.96296296 29 22 29.35918675 -4.35918675 -0.475469513 23 36.40486948 -7.40486948 -0.807671221 39.81481481 41.66666667 31 31 24 25 32.17745984 7.822540161 43.45055221 -12.4505522 0.853227809 43.51851852 31 -1.3580189 45.37037037 32 26 27 28 29 30 31 32 33 35.7003012 -7.7003012 32.88202811 -7.88202811 32.88202811 -1.88202811 42.74598394 -10.7459839 34.99573293 6.004267068 46.97339357 -14.9733936 44.15512048 -6.15512048 39.92771084 8.072289157 -0.839894841 -0.859716338 47.22222222 32 49.07407407 32 -0.205278425 50.92592593 33 -1.17209655 52.77777778 33 0.654903335 54.62962963 33 -1.63319274 56.48148148 37 -0.671357367 0.880468678 58.33333333 60.18518519 37 37 51.00527140 13.00571C 1 107527205 52.02702701 20 200 Protein (Y) 150 100 8800 50 Normal Probability Plot 0 20 40 60 Sample Percentile 80 100 120 33 39.92771084 8.072289157 0.880468678 34 51.90537149 -12.9053715 -1.407627396 60.18518519 62.03703704 37 38 35 21.60893574 6.391064257 0.697092459 63.88888889 38 36 29.35918675 8.640813253 0.942479298 65.74074074 39 37 38 49.08709839 8.912901606 0.972156787 67.59259259 39 80.79267068 13.20732932 1.440562839 69.44444444 39 39 166.75 19.25 2.09965497 71.2962963 40 40 8.222138554 1.777861446 0.193916656 73.14814815 41 41 14.56325301 0.436746988 0.047637298 75 42 42 26.54091365 -2.54091365 -0.277145038 76.85185185 42 43 58.24648594 -9.24648594 -1.008541827 78.7037037 46 44 45 46 47 48 40.63227912 -1.63227912 63.17846386 -5.17846386 5.403865462 1.596134538 14.56325301 16.43674699 30.06375502 2.93624498 -0.178037556 80.55555556 46 -0.564830513 82.40740741 48 0.174095159 84.25925926 48 1.792805065 86.11111111 49 0.320265006 87.96296296 51 49 50 51 52 53 54 8.926706827 5.073293173 18.08609438 23.91390562 30.06375502 2.93624498 11.04041165 -3.04041165 20.1997992 16.8002008 32.17745984 -4.17745984 0.553359232 89.81481481 55 2.60836108 91.66666667 58 0.320265006 -0.331626775 93.51851852 58 95.37037037 70 1.832448058 97.22222222 94 -0.455648016 99.07407407 186
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