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Use Matlab to create a code for the following ;                                                                                                           The image attached describes the correlation between the height and the weight of a person and how this could be related to define Body Mass Index. The formula used to calculate the BMI = W / H^2 (kg/m2), where W is the weight in kg and H is the height in meters. Use this formula to plot the  graph                                                                             For the four colour curves use the line width ‘3’. To display a BMI of a person use the following: circular MarkerSize ‘8’, MarkerEdgeColor ‘black’, and MarkerFaceColor ‘cyan’. To display this you have to enter two values. These are the Height in meters and Weight in kgs. And inform the outcome result to the person from the command window

Use Matlab to create a code for the following ;                                                                                                           The image attached describes the correlation between the height and the weight of a person and how this could be related to define Body Mass Index. The formula used to calculate the BMI = W / H^2 (kg/m2), where W is the weight in kg and H is the height in meters. Use this formula to plot the  graph                                                                             For the four colour curves use the line width ‘3’. To display a BMI of a person use the following: circular MarkerSize ‘8’, MarkerEdgeColor ‘black’, and MarkerFaceColor ‘cyan’. To display this you have to enter two values. These are the Height in meters and Weight in kgs. And inform the outcome result to the person from the command window

Systems Architecture
Systems Architecture
7th Edition
ISBN:9781305080195
Author:Stephen D. Burd
Publisher:Stephen D. Burd
Chapter6: System Integration And Performance
Section: Chapter Questions
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Use Matlab to create a code for the following ;                                                                                                           The image attached describes the correlation between the height and
the weight of a person and how this could be related to define Body Mass Index.

The formula used to calculate the BMI = W / H^2 (kg/m2), where W is the weight in kg
and H is the height in meters. Use this formula to plot the  graph                                                                             For the four colour curves use the line width ‘3’. To display a BMI of a person use the
following: circular MarkerSize ‘8’, MarkerEdgeColor ‘black’, and MarkerFaceColor
‘cyan’. To display this you have to enter two values. These are the Height in meters
and Weight in kgs. And inform the outcome result to the person from the command
window                                                                                     

Weight (kgs) Height(m) 1.4 1.4 1.5 1.5 1.5 1.5 1.6 1.6 1.6 1.7 1.7 1.7 1.7 1.8 1.8 1.8 41 20 20 19 18 18 17 2.1 2.1 17 16 16 15 15 14 14 45 2.0 10 2.0 10 2.1 10 Underweight NNN82999662999 21 20 20 18 18 17 17 16 16 15 12 1.9 12 1.9 11 1.9 11 12 2.0 11 12 2.0 10 12 15 50 13 13 11 11 11 9 10 9 10 17 13 16 13 14 16 13 14 15 1.8 12 14 1.9 13) 25 24 23 22 21 21 20 99996 19 19 18 18 17 54 27 26 25 12 11 24 23 23 22 21 21 20 19 19 18 18 17 17 59 Healthy 29 28 27 26 64 31 34 30 32 29 31 28 30 25 27 29 25 26 28 27 27 26 25 24 26 23 25 22 22 20 19 18827588 24 23 21 23 20 22 22 22 21 16 18 19 20 18 19 20 18 20 15 15 16 17 14 15 17 14 13 15 16 17 18 13 14 15 17 18 13 14 15 16 17 00000 18 68 73 77 82 15 16 18 12 15 16 14 12 13 14 15 12 13 14 15 13 14 15 12 13 14 20 19 19 17 16 1999 16 36 3388588888 16 31 30 32 34 36 33 35 34 29 28 55899999999 21 21 20 27 29 27 28 24 26 27 24 25 27 23 24 24 23 22 24 25 27 22 23 24 19 19 18 18 17 88888888886 17 Overweight 38 41 43 45 37 39 41 43 42 41 39 38 33 37 32 35 31 33 34 30 32 33 15 16 36 38 40 38 32 31 30 22 24 22 23 21 23 21 22 20 21 20 21 20 86 899995 19 19 20 19 PERSE 18 37 29 28 26 27 25 27 28 30 24 26 27 29 18 36 35 34 91 95 100 104 109 113 118 122 127 132 23 24 26 23 24 25 22 23 24 21 23 24 23 23 19 20 21 22 17 18 19 20 21 Obese 47 45 44 Extremely Obese 56 58 60 63 58 61 54 56 52 54 56 59 54 57 50 53 49 51 53 55 47 49 51 53 46 48 49 51 44 46 48 50 43 45 46 48 41 43 45 47 42 43 45 40 39 41 42 44 36 34 33 31 33 38 40 41 43 41 34 38 35 37 40 33 34 36 37 39 40 32 33 35 36 38 39 32 31 30 29 31 33 34 35 37 38 30 32 33 34 36 37 28 30 31 32 33 35 36 28 29 30 31 33 34 35 30 32 31 32 34 30 31 33 29 30 32 30 28 29 26 27 28 25 26 28 24 26 27 24 25 26 21 22 20 21 42 41 40 38 40 37 39 36 38 35 37 49 48 51 50 48 46 45 43 42 54 50 50 46 49 45 47 43 45 42 44 43 41 39 41 38 40 37 39 36 38 35 37 28 29 27 28 27 28 27 26 25 26 27 25 24 24 25 26 25 26 23 24 25 22 23 25 30 31 29 30 28 29 27 29 27 28 26 27 26 27 65 63 61 59 57 55 53 52 50 48 47 46 44 43 42 41 39 38 37 36 35 34 34 33 34 32 33 31 32 30 32 33 29 31 32 29 30 31 28 29 28 29 30 30
Transcribed Image Text:Weight (kgs) Height(m) 1.4 1.4 1.5 1.5 1.5 1.5 1.6 1.6 1.6 1.7 1.7 1.7 1.7 1.8 1.8 1.8 41 20 20 19 18 18 17 2.1 2.1 17 16 16 15 15 14 14 45 2.0 10 2.0 10 2.1 10 Underweight NNN82999662999 21 20 20 18 18 17 17 16 16 15 12 1.9 12 1.9 11 1.9 11 12 2.0 11 12 2.0 10 12 15 50 13 13 11 11 11 9 10 9 10 17 13 16 13 14 16 13 14 15 1.8 12 14 1.9 13) 25 24 23 22 21 21 20 99996 19 19 18 18 17 54 27 26 25 12 11 24 23 23 22 21 21 20 19 19 18 18 17 17 59 Healthy 29 28 27 26 64 31 34 30 32 29 31 28 30 25 27 29 25 26 28 27 27 26 25 24 26 23 25 22 22 20 19 18827588 24 23 21 23 20 22 22 22 21 16 18 19 20 18 19 20 18 20 15 15 16 17 14 15 17 14 13 15 16 17 18 13 14 15 17 18 13 14 15 16 17 00000 18 68 73 77 82 15 16 18 12 15 16 14 12 13 14 15 12 13 14 15 13 14 15 12 13 14 20 19 19 17 16 1999 16 36 3388588888 16 31 30 32 34 36 33 35 34 29 28 55899999999 21 21 20 27 29 27 28 24 26 27 24 25 27 23 24 24 23 22 24 25 27 22 23 24 19 19 18 18 17 88888888886 17 Overweight 38 41 43 45 37 39 41 43 42 41 39 38 33 37 32 35 31 33 34 30 32 33 15 16 36 38 40 38 32 31 30 22 24 22 23 21 23 21 22 20 21 20 21 20 86 899995 19 19 20 19 PERSE 18 37 29 28 26 27 25 27 28 30 24 26 27 29 18 36 35 34 91 95 100 104 109 113 118 122 127 132 23 24 26 23 24 25 22 23 24 21 23 24 23 23 19 20 21 22 17 18 19 20 21 Obese 47 45 44 Extremely Obese 56 58 60 63 58 61 54 56 52 54 56 59 54 57 50 53 49 51 53 55 47 49 51 53 46 48 49 51 44 46 48 50 43 45 46 48 41 43 45 47 42 43 45 40 39 41 42 44 36 34 33 31 33 38 40 41 43 41 34 38 35 37 40 33 34 36 37 39 40 32 33 35 36 38 39 32 31 30 29 31 33 34 35 37 38 30 32 33 34 36 37 28 30 31 32 33 35 36 28 29 30 31 33 34 35 30 32 31 32 34 30 31 33 29 30 32 30 28 29 26 27 28 25 26 28 24 26 27 24 25 26 21 22 20 21 42 41 40 38 40 37 39 36 38 35 37 49 48 51 50 48 46 45 43 42 54 50 50 46 49 45 47 43 45 42 44 43 41 39 41 38 40 37 39 36 38 35 37 28 29 27 28 27 28 27 26 25 26 27 25 24 24 25 26 25 26 23 24 25 22 23 25 30 31 29 30 28 29 27 29 27 28 26 27 26 27 65 63 61 59 57 55 53 52 50 48 47 46 44 43 42 41 39 38 37 36 35 34 34 33 34 32 33 31 32 30 32 33 29 31 32 29 30 31 28 29 28 29 30 30
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