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'sheigh(in inches). A BMI in the range 19-25, inclusive, is consideredhealth. 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 name_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 thex axisand height on they 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. Generatehistogramofbmivalues (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 standarddevicationas sigma for the normal distribution. Usemakedist(from statistics toolbox) as:makedist('Normal', mu, sigma). Then evaluate it at bin values of histograms (these can be output byhistcounts), using pdfas:pdf(pd, x). Rescale thegaussianto theright yrangeusing usingthe max of the histogram (again fromhistcounts) 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

Female 68.46058 170.1067 Female 66.64836 159.5935 Female 66.71938 146.8916 Female 65.15745 136.7543 Female 69.5004 178.0207 Female 63.03745 131.0488 Female 60.67972 114.831 Female 59.1042 103.4189 Female 60.00246 114.4457 Female 62.79257 119.1734 Female 61.55086 122.8834 Female 67.48074 164.4553 Female 64.79102 140.4009 Female 62.44093 121.4277 Female 66.5539 150.0169 Female 62.18522 111.0993 Female 65.31044 136.4344 Female 67.8364 156.2743 Female 63.78122 166.1058 Female 61.33403 107.4457 Female 66.31824 138.537 Female 64.11602 134.3014 Female 63.10435 116.9028 Female 58.21216 101.757 Female 63.00143 120.1859 Female 59.34001 110.1832 Female 63.03064 126.7335 Female 63.52057 130.4291 Female 62.09876 136.3823 Female 63.18262 132.2461 Female 65.06597 153.5705 Female 68.68566 165.9243 Female 63.03629 130.1175 Female 63.25835 124.2172 Female 63.91326 131.0292 Female 58.19009 107.0571 Female 57.80077 86.19096 Female 65.36747 139.1957 Female 62.05968 122.197 Female 62.59865 114.7669 Female 63.71115 140.6195 Female 60.11392 127.7125 Female 67.61251 157.7608 Female 58.38727 85.79309 Female 60.91002 120.272 Female 66.98592 142.9204 Female 60.56853 106.7913 Female 61.62199 123.2338 Female 62.46081 126.6796 Female 61.83172 116.795 Female 60.87059 115.1322 Female 66.15718 162.3392 Female 60.94279 110.9213 Female 60.49619 111.8317 Female 66.16773 153.6778 Female 64.51722 139.0127 Female 63.43683 141.5792 Female 62.31067 131.3633 Female 62.89841 125.0409 Female 64.51206 132.6274 Female 64.74866 133.5414 Female 63.33818 144.7043 Female 62.81173 123.0913 Female 63.4973 146.2294 Female 64.05481 149.7535 Female 64.34763 138.8153 Female 63.08249 135.947 Female 64.40193 139.1248 Female 64.68248 138.8541 Female 67.19207 158.3422 Female 63.86806 126.8347 Female 63.31342 137.277 Female 59.33082 102.516 Female 62.63584 134.4189 Female 60.42138 116.1013 Female 61.65845 114.5699 Female 60.83424 107.281 Female 64.61909 121.5753 Female 60.62378 120.3826 Female 64.17734 146.6368 Female 64.70672 161.6779 Female 59.9682 103.6168 Female 65.29417 138.8077 Female 63.8423 129.556 Female 63.16865 142.0104 Female 65.95969 149.8954 Female 66.14846 162.2445 Female 62.79141 120.4201 Female 65.7486 142.0674 Female 60.97202 138.4285 Female 64.09552 149.2741 Female 66.81442 156.8386 Female 66.42394 132.6163 Female 65.86452 158.1672 Female 59.76137 103.944 Female 64.10618 144.7659 Female 59.69302 110.3703 Female 62.78952 141.7182 Female 65.92887 125.5159 Female 63.19434 139.5313 Female 66.62714 160.1351 Female 64.53148 144.0885 Female 61.75934 110.0258 Female 67.38506 162.5506 Female 63.27696 116.7618 Female 61.12205 123.5979 Female 64.26376 132.2832 Female 69.9952 176.5509