Data analysis and reports

Data analysis and reports

R studio “ software needed Answer each questions separately. Attach the R result into your analysis to prove the credibility of your analysis
This case is an example of predicting the growth in a high-profile social network’s traffic using time-series analysis. Such predictions are used to forecast future revenues in a pro forma cash flow statement and provide a valuation benchmark for a potential acquisition target. Use the following questions to guide you through the case analyses:

Since April 2010, what has been the average monthly growth in the number of people worldwide accessing Tumblr’s site? If Tumblr experienced this rate of growth for the next 10 years, how many people worldwide would be accessing Tumblr’s site in December 2022?

How does the average monthly growth rate over the past all months compare to the average monthly growth rate over the past 12 months?

Use the exponential smoothing models we have learned in class and try to fit the following models again the data:
Holt’s Linear Trend Model
Holt’s Damped Trend Model
Multiplicative Error Damped Exponential Trend Model
Which of the models best fits the data?