Question: Write a function called fitModel which accepts as its first argument argument a design matrix x and as its second argument a vector of outcome

Write a function called fitModel which accepts as its first argument argument a design matrix x and as its second argument a vector of
outcome counts y. The function should return the maximum likelihood estimates for the coefficients of a Poisson regression of y onto x.
Test your function by calling it with
x=np.array([123231]). T
y=np.array([0,2,10])
What is your estimated b?
Write a function called fitModel which accepts as its first argument

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