(a) Use the function optim()to compute β^ using initial value (.25,.75). (b) Again, starting with (.25,.75) find the next value when using the Newton-Raphson algorithm. (c) Assume that β0=0, and plot the likelihood function L(β1) as a function of β1. (d) Again, assume β0=0 and compute β^1 using uniroot(), a grid search, and by the Newton-Raphson algorithm. You can use the plot in part (c) to find a good initial value.

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step-by-step explanation:

what is

step-by-step explanation:

the real question is why is this guys last name heavyfoot

step-by-step explanation:

the image is given below

since the options are not given so we draw it from the equation

the given equation is

y = (x-1) (x+4)

y = y² + 3x - 4

the above equation is a quadratic equation which will have two roots. if we draw the graph for it, it will look like this