Write python code for the following

1. Read and extract data from the file studentdata.csv (file below) Calculate the BMI using formula BMI=weight/(height)2. Create a plot of age versus BMI with appropriate labels and title.

age	weight	height
22	44	5.1
24	50	5.2
26	55	5.3
28	58	5.4
30	60	5.5
32	65	5.6
34	68	5.7
36	70	5.8
38	73	5.9

2. Read and extract height, weight from file studentdata.csv(file above). By using least squares polynomial fit, create models that range from polynomial degrees of 1 to 5. i.e. create 5 models. Without plotting the models, identify which one has the best model and print the statistic used to identify the best fit model.

3. Write a Python program to generate data that uses the sum of a random variable (which has a Gaussian distribution) and a 4th-degree polynomial equation (3x4+x3+3x2+4x+5). Using least squares polynomial fit, curve the generated data using a model until your model can accurately predict all values

4. Write a Python program to plot the t-distribution of completion times of all the racers in Boston Marathon from 2012 (use bm_results2012.csv, file below) and overlay the plot with the t-distribution of a sample of 100 randomly selected racers. Both the t-distribution should be in the same chart, overlapping each other, but with different colors

name	city	gender	age	official	country
Masazumi Soejima	Fukuoka City	M	41	83.45	JPN
Gebregziabher Gebremariam	Tigray	M	27	142.93	ETH
Ernst F. Van Dyk	Paarl	M	39	84.38	RSA
Kurt H. Fearnley	Hamilton	M	31	81.65	AUS
Kota Hokinoue	Iizuka	M	38	83.43	JPN
Levy Matebo	Trans Nzoia	M	22	133.1	KEN
Sharon Cherop	Marakwet	F	28	151.83	KEN
Wilson Chebet	Marakwet	M	26	134.93	KEN
Joshua R. Cassidy	Toronto	M	27	78.42	CAN