Dataset "Q2-InstagramGlobalUsers.xls" records the worldwide number of Instagram users (in millions) since its launch in 2011 to 2018. The data are bi-annual (for every January and

July) and have 16 periods.

1. Use Bass model to predict the worldwide number of Instagram users in January 2023.
2. [Hint: Worldwide number of users is A(t) in Bass model. But you need the values of N(t) estimate Bass model? How do you get N(t) from A(t)?]
3. Compare the value of p and q for your Bass model. What do you find? Do you think the difference make sense after considering the product nature of Instagram?
4. When will the total adoption rate of Instagram surpass 50% worldwide?

**photo is dataset

Year TotalUse:s \begin{tabular}{cr} Jan-11 & 1 \\ Jul-11 & 5 \\ Jan-12 & 15 \\ Jul-12 & 50 \\ Jan-13 & 90 \\ Jul-13 & 130 \\ Jan-14 & 180 \\ Jul-14 & 235 \\ Jan-15 & 310 \\ Jul-15 & 365 \\ Jan-16 & 415 \\ Jul-16 & 510 \\ Jan-17 & 625 \\ Jul-17 & 755 \\ Jan-18 & 870 \\ Jul-18 & 1025 \end{tabular}