The Bitcoin data $($BTC$-$USD$)$ in given to you $(\text{'}$BTC$-$USD.xlxs$\text{'}).$ The data is from $9/17/2014$ to

$12/23/2023.$ We focus on the closing price of this stock. This data will serve as the population.

a$)$ Compute the mean and variance of the population.

b$)$ Plot the histogram of the population $($set a reasonable length of bins$).$ Discuss what it shows.

c$)$ Normalize the histogram data.

d$)$ Plot the population $($Matlab ocmmand: plot$($x$,$y$,$o$)).$ Use appropriate labels for the x$-$ and y$-$axis

$($x demonstrates the day $($eg$.,1,2,...)$ or time$-$stamp and y$-$axis shows the closing price$).$ In the

title of this figure, state when is the starting and ending date of your data.

e$)$ On the same figure, show the population mean with a red line $.$

f$)$ Predict the average closing price of Bitcoin for Feb. $15,2024$ based on the collected data using

any regression model that you can come up with and solve it using the least$-$square error method.

Justify your proposed model.

g$)$ Submit your codes along with a technical report that contains an introduction about the project, a

section on the results $($with figures$),$ and a conclusion section.

h$)$ Prepare a set of slides with your teammate $($if you have any$)$ and be prepared to present your

work in class for $10$ minutes.

Good Luck