Matlab Programming, BMI csv pasted below BMI is calculated as a person's weight (in pounds) times 703, divided by the square of the person's heigh (in inches) A BMI in the range 19 25, inclusive, is considered health Write a program that calculates a person's BMI and prints a message telling whether they are above, within, or below the healthy range This program should take the file bmi csv as input, and print the results back out to a table A new file should be output as jhed bmi csv with columns added for the calculated BMI and obese , healthy , underweight Note USE STRUCTS to manipulate the data 2b Generate a plot of weight vs height from the BMI csv file with weight on the x axis and height on the y axis Color code using gender Draw dotted lines indicating the cutoff between underweight, healthy and overweight Set the transparency of the points to 0 5 (alpha) so that the plot is legible 2c Generate histogram of bmi values (use histogram), plotting separately for male and female gender 2d Add a normal distribution as a line plot to the plot, using the mean as mu and standard devication as sigma for the normal distribution Use makedist (from statistics toolbox) as makedist('Normal', mu, sigma) Then evaluate it at bin values of histograms (these can be output by histcounts), using pdf as pdf(pd, x) Rescale the gaussian to the right y range using using the max of the histogram (again from histcounts) vs the max of the normal distribution as the amplitude Gender Height Weight Male 73 84702 241 8936 Male 68 7819 162 3105 Male 74 11011 212 7409 Male 71 73098 220 0425 Male 69 8818 206 3498 Male 67 25302 152 2122 Male 68 78508 183 9279 Male 68 34852 167 9711 Male 67 01895 175 9294 Male 63 45649 156 3997 Male 71 19538 186 6049 Male 71 64081 213 7412 Male 64 76633 167 1275 Male 69 28307 189 4462 Male 69 24373 186 4342 Male 67 64562 172 1869 Male 72 41832 196 0285 Male 63 97433 172 8835 Male 69 64006 185 984 Male 67 936 182 4266 Male 67 91505 174 1159 Male 69 43944 197 7314 Male 66 14913 149 1736 Male 75 20597 228 7618 Male 67 8932 162 0067 Male 68 14403 192 344 Male 69 08963 184 4352 Male 72 80084 206 8282 Male 67 42124 175 2139 Male 68 49642 154 3426 Male 68 61811 187 5068 Male 74 03381 212 9102 Male 71 52822 195 0322 Male 69 18016 205 1836 Male 69 5772 204 1641 Male 70 40093 192 9035 Male 69 07617 197 4882 Male 67 19352 183 811 Male 65 80732 163 8518 Male 64 30419 163 108 Male 67 97434 172 1356 Male 72 18943 194 0454 Male 65 27035 168 6177 Male 66 09018 161 1934 Male 67 51032 164 6603 Male 70 10479 188 9223 Male 68 25184 187 0606 Male 72 17271 209 0709 Male 69 17986 192 0143 Male 72 87036 211 3425 Male 64 78258 165 6116 Male 70 18355 201 0719 Male 68 49145 173 424 Male 67 33083 181 4077 Male 66 99094 169 7377 Male 66 49955 163 3095 Male 68 35306 189 7102 Male 70 77446 192 1248 Male 71 21592 198 1985 Male 70 01337 209 5265 Male 71 40318 198 7598 Male 69 55201 198 0795 Male 73 81853 195 2906 Male 66 99688 164 9433 Male 71 41847 179 8639 Male 65 2793 155 2504 Male 68 27419 184 5194 Male 72 76537 220 678 Male 68 09938 183 3127 Male 68 89671 196 4513 Male 69 28951 184 5956 Male 70 52322 207 5328 Male 69 66373 177 2009 Male 67 59527 163 108 Male 72 50812 216 2182 Male 71 25299 204 6555 Male 71 80919 200 9206 Male 72 24517 220 9018 Male 66 51263 196 4499 Male 66 02903 168 6408 Male 67 57715 181 4327 Male 68 24657 198 6587 Male 73 82613 237 9167 Male 69 80246 173 0413 Male 65 95958 160 6839 Male 71 07902 188 6029 Male 66 5962 208 3457 Male 68 95154 193 4351 Male 68 24446 174 1097 Male 72 31683 197 3686 Male 71 81542 201 6207 Male 65 23705 181 012 Male 70 64053 182 1225 Male 64 73193 177 5493 Male 67 10355 164 9746 Male 65 11748 165 7171 Male 71 70123 193 0942 Male 66 83288 180 6839 Male 66 47128 172 7737 Male 69 41153 177 4706 Male 70 05218 200 8187 Male 66 7436 167 7398 Male 66 27433 154 3956 Male 68 32845 177 9847 Male 70 07589 183 9389 Male 68 73299 179 2048 Male 67 55605 158 568 Male 66 25363 166 5035 Male 69 1822 171 9837 Male 67 6091 174 3642 Male 69 29274 187 7454 Male 68 19068 201 488 Male 71 60709 204 927 Male 69 19686 178 6855 Male 67 26196 164 0144 Male 73 68519 223 27 Male 69 53722 202 9583 Male 68 31156 189 3918 Male 67 73896 178 1706 Male 71 70576 223 2993 Male 63 63226 167 0287 Male 68 7212 180 4687 Male 66 94934 164 4391 Male 62 70699 149 9696 Male 72 25841 192 9103 Male 70 90865 201 884 Male 67 60984 179 868 Male 70 80156 196 4677 Male 69 30477 187 5516 Male 66 2429 171 6932 Male 67 49219 191 6996 Male 65 80625 165 8506 Male 71 44371 185 6627 Male 68 46441 178 2818 Male 63 98792 150 9791 Male 71 0019 209 9293 Male 68 13972 174 1578 Male 68 3954 179 879 Male 68 09622 167 7471 Male 68 14059 183 0447 Male 68 86009 169 5568 Male 66 14885 173 4317 Male 66 20603 180 8896 Male 67 43212 183 5089 Male 69 47111 205 9779 Male 70 51586 183 7598 Male 71 33838 201 9545 Male 71 00194 216 1201 Male 66 20235 159 3903 Male 72 54331 210 3364 Male 67 47935 178 6184 Male 65 35041 146 7398 Male 70 84406 195 937 Male 69 93848 170 1759 Male 64 73982 169 6541 Male 69 3084 198 3787 Male 68 83846 179 9077 Male 61 93732 147 2637 Male 68 59334 176 9843 Male 65 21858 185 4678 Male 64 33365 177 4938 Male 68 74891 169 8275 Male 72 48966 198 5817 Male 67 23393 203 3503 Male 67 2636 193 2177 Male 65 1185 178 1349 Male 66 26282 162 7796 Male 67 70168 159 2865 Male 65 5307 172 1143 Male 69 86897 201 837 Male 68 48188 170 3523 Male 72 21396 205 3898 Male 68 17953 169 7878 Male 71 98121 200 4373 Male 66 06514 178 589 Male 66 65616 168 014 Male 67 59942 177 7664 Male 68 24594 193 2776 Male 64 80862 162 3795 Male 67 49222 183 3838 Male 68 18073 181 0561 Male 69 55338 210 8718 Male 66 40225 165 5685 Male 66 59216 196 1484 Male 71 93589 202 0464 Male 68 28704 170 4136 Male 69 95545 201 9481 Male 71 85113 193 387 Male 65 7555 179 8557 Male 67 03185 156 4899 Male 76 70983 235 0354 Male 72 57112 230 5605 Male 69 7288 203 8957 Male 72 79922 218 2164 Male 72 53935 222 6672 Male 72 29474 208 4749 Male 67 25332 180 7798 Male 75 94446 231 9247 Male 66 31623 170 5939 Male 71 15605 188 2715 Male 71 1922 196 0615 Male 72 19751 214 6036 Male 75 14082 224 1243 Male 64 41153 158 5794 Male 64 73442 166 5011 Male 63 41459 160 1406 Male 67 84867 176 1726 Male 65 93178 174 4853 Male 70 96655 193 9065 Male 67 58075 186 9916 Male 68 58927 173 5958 Male 70 32475 193 3466 Male 72 39448 208 4365 Male 70 82086 206 033 Male 65 9033 172 5752 Male 74 79538 232 6354 Male 67 68092 177 2401 Male 67 15596 175 6467 Male 71 77484 212 6261 Male 64 66523 166 9692 Male 68 12277 196 4144 Male 66 78693 165 4312 Male 66 80585 176 5658 Male 67 88601 174 652 Male 69 17358 195 2375 Male 70 22492 205 6844 Female 61 70957 120 6043 Female 69 43689 170 1389 Female 65 4317 153 8187 Female 64 84259 142 8792 Female 64 88969 153 5862 Female 61 82517 144 5555 Female 63 94262 125 1941 Female 63 92118 140 8838 Female 60 71819 116 6902 Female 63 97982 156 6245 Female 68 63608 156 4131 Female 61 29848 137 9945 Female 60 8895 113 0625 Female 64 12266 141 0519 Female 68 21107 145 4869 Female 67 02237 162 0266 Female 70 26627 158 2346 Female 60 84274 131 3054 Female 62 81735 143 2488 Female 67 69056 177 5006 Female 61 25244 122 8241 Female 66 07668 156 2007 Female 69 33674 167 6358 Female 60 57921 127 3545 Female 61 65417 141 4963 Female 63 73768 139 675 Female 62 23071 108 192 Female 65 18289 143 7641 Female 65 49759 151 5421 Female 65 24244 144 7572 Female 65 91904 165 065 Female 55 85121 103 7671 Female 58 80965 93 05409 Female 63 70007 142 322 Female 62 85233 145 3155 Female 64 89686 143 3447 Female 63 39063 110 5132 Female 64 23522 143 3136 Female 63 53547 137 623 Female 66 20404 153 4137 Female 60 39464 130 7854 Female 69 62626 159 8679 Female 67 29725 161 6448 Female 62 59002 132 3217 Female 64 83275 136 4307 Female 61 9245 113 6611 Female 64 1105 146 7563 Female 61 14475 118 7982 Female 64 5878 140 7747 Female 64 36125 141 201 Female 66 06649 158 504 Female 59 83026 99 72474 Female 64 00784 135 6674 Female 64 11092 134 1648 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Question: Matlab Programming, BMI.csv pasted below- BMI is calculated as a person's weight (in pounds) times 703, divided by the square of the person's heigh (in

Matlab Programming, BMI.csv pasted below-

BMI is calculated as a person's weight (in pounds) times 703, divided by the square of the person's heigh (in inches). A BMI in the range 19-25, inclusive, is considered health. Write a program that calculates a person's BMI and prints a message telling whether they are above, within, or below the healthy range. This program should take the file bmi.csv as input, and print the results back out to a table. A new file should be output as jhed_bmi.csv with columns added for the calculated BMI and "obese", "healthy", "underweight". Note - USE STRUCTS to manipulate the data

2b. Generate a plot of weight vs. height from the BMI.csv file with weight on the x axis and height on the y axis. Color code using gender. Draw dotted lines indicating the cutoff between underweight, healthy and overweight. Set the transparency of the points to 0.5 (alpha) so that the plot is legible.

2c. Generate histogram of bmi values (use histogram), plotting separately for male and female gender.

2d. Add a normal distribution as a line plot to the plot, using the mean as mu and standard devication as sigma for the normal distribution. Use makedist (from statistics toolbox) as: makedist('Normal', mu, sigma). Then evaluate it at bin values of histograms (these can be output by histcounts), using pdf as: pdf(pd, x). Rescale the gaussian to the right y range using using the max of the histogram (again from histcounts) vs the max of the normal distribution as the amplitude.

Gender	Height	Weight
Male	73.84702	241.8936
Male	68.7819	162.3105
Male	74.11011	212.7409
Male	71.73098	220.0425
Male	69.8818	206.3498
Male	67.25302	152.2122
Male	68.78508	183.9279
Male	68.34852	167.9711
Male	67.01895	175.9294
Male	63.45649	156.3997
Male	71.19538	186.6049
Male	71.64081	213.7412
Male	64.76633	167.1275
Male	69.28307	189.4462
Male	69.24373	186.4342
Male	67.64562	172.1869
Male	72.41832	196.0285
Male	63.97433	172.8835
Male	69.64006	185.984
Male	67.936	182.4266
Male	67.91505	174.1159
Male	69.43944	197.7314
Male	66.14913	149.1736
Male	75.20597	228.7618
Male	67.8932	162.0067
Male	68.14403	192.344
Male	69.08963	184.4352
Male	72.80084	206.8282
Male	67.42124	175.2139
Male	68.49642	154.3426
Male	68.61811	187.5068
Male	74.03381	212.9102
Male	71.52822	195.0322
Male	69.18016	205.1836
Male	69.5772	204.1641
Male	70.40093	192.9035
Male	69.07617	197.4882
Male	67.19352	183.811
Male	65.80732	163.8518
Male	64.30419	163.108
Male	67.97434	172.1356
Male	72.18943	194.0454
Male	65.27035	168.6177
Male	66.09018	161.1934
Male	67.51032	164.6603
Male	70.10479	188.9223
Male	68.25184	187.0606
Male	72.17271	209.0709
Male	69.17986	192.0143
Male	72.87036	211.3425
Male	64.78258	165.6116
Male	70.18355	201.0719
Male	68.49145	173.424
Male	67.33083	181.4077
Male	66.99094	169.7377
Male	66.49955	163.3095
Male	68.35306	189.7102
Male	70.77446	192.1248
Male	71.21592	198.1985
Male	70.01337	209.5265
Male	71.40318	198.7598
Male	69.55201	198.0795
Male	73.81853	195.2906
Male	66.99688	164.9433
Male	71.41847	179.8639
Male	65.2793	155.2504
Male	68.27419	184.5194
Male	72.76537	220.678
Male	68.09938	183.3127
Male	68.89671	196.4513
Male	69.28951	184.5956
Male	70.52322	207.5328
Male	69.66373	177.2009
Male	67.59527	163.108
Male	72.50812	216.2182
Male	71.25299	204.6555
Male	71.80919	200.9206
Male	72.24517	220.9018
Male	66.51263	196.4499
Male	66.02903	168.6408
Male	67.57715	181.4327
Male	68.24657	198.6587
Male	73.82613	237.9167
Male	69.80246	173.0413
Male	65.95958	160.6839
Male	71.07902	188.6029
Male	66.5962	208.3457
Male	68.95154	193.4351
Male	68.24446	174.1097
Male	72.31683	197.3686
Male	71.81542	201.6207
Male	65.23705	181.012
Male	70.64053	182.1225
Male	64.73193	177.5493
Male	67.10355	164.9746
Male	65.11748	165.7171
Male	71.70123	193.0942
Male	66.83288	180.6839
Male	66.47128	172.7737
Male	69.41153	177.4706
Male	70.05218	200.8187
Male	66.7436	167.7398
Male	66.27433	154.3956
Male	68.32845	177.9847
Male	70.07589	183.9389
Male	68.73299	179.2048
Male	67.55605	158.568
Male	66.25363	166.5035
Male	69.1822	171.9837
Male	67.6091	174.3642
Male	69.29274	187.7454
Male	68.19068	201.488
Male	71.60709	204.927
Male	69.19686	178.6855
Male	67.26196	164.0144
Male	73.68519	223.27
Male	69.53722	202.9583
Male	68.31156	189.3918
Male	67.73896	178.1706
Male	71.70576	223.2993
Male	63.63226	167.0287
Male	68.7212	180.4687
Male	66.94934	164.4391
Male	62.70699	149.9696
Male	72.25841	192.9103
Male	70.90865	201.884
Male	67.60984	179.868
Male	70.80156	196.4677
Male	69.30477	187.5516
Male	66.2429	171.6932
Male	67.49219	191.6996
Male	65.80625	165.8506
Male	71.44371	185.6627
Male	68.46441	178.2818
Male	63.98792	150.9791
Male	71.0019	209.9293
Male	68.13972	174.1578
Male	68.3954	179.879
Male	68.09622	167.7471
Male	68.14059	183.0447
Male	68.86009	169.5568
Male	66.14885	173.4317
Male	66.20603	180.8896
Male	67.43212	183.5089
Male	69.47111	205.9779
Male	70.51586	183.7598
Male	71.33838	201.9545
Male	71.00194	216.1201
Male	66.20235	159.3903
Male	72.54331	210.3364
Male	67.47935	178.6184
Male	65.35041	146.7398
Male	70.84406	195.937
Male	69.93848	170.1759
Male	64.73982	169.6541
Male	69.3084	198.3787
Male	68.83846	179.9077
Male	61.93732	147.2637
Male	68.59334	176.9843
Male	65.21858	185.4678
Male	64.33365	177.4938
Male	68.74891	169.8275
Male	72.48966	198.5817
Male	67.23393	203.3503
Male	67.2636	193.2177
Male	65.1185	178.1349
Male	66.26282	162.7796
Male	67.70168	159.2865
Male	65.5307	172.1143
Male	69.86897	201.837
Male	68.48188	170.3523
Male	72.21396	205.3898
Male	68.17953	169.7878
Male	71.98121	200.4373
Male	66.06514	178.589
Male	66.65616	168.014
Male	67.59942	177.7664
Male	68.24594	193.2776
Male	64.80862	162.3795
Male	67.49222	183.3838
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