a. Using NumPy sample 100 numbers from a uniform distribution and store it into variable x. Make sure that the sample contains numbers greater than zero and numbers less than zero within the uniform distribution interval.  b. Set the seed to be the last two digits of your student number. c. Generate y data using x data you generated in point above according to the following relationship y = 12x -4.

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a. Using NumPy sample 100 numbers from a uniform distribution and store it into variable x. Make sure that the sample contains numbers greater than zero and numbers less than zero within the uniform distribution interval. 


b. Set the seed to be the last two digits of your student number.


c. Generate y data using x data you generated in point above according to the following relationship y = 12x -4. d. Using matplotlib generate a scatter plot of x and y. Set alpha the transparency to 0.5. Make sure to give the plot an appropriate title and label the axis’s. 


e. Add( injecting noise) to the y data using the from the normal (Gaussian) distribution (i.e.
y=12x-4 + noise). 


f. Reproduce the plot in point d above and change the title.

 


g. Compare the two plots and point out the difference in your analysis report, try to explain
why.

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