## Warning: package 'astsa' was built under R version 4.1.3

3a) No, I do not think the two time series plots are similar.

3b) The two time series share the same trend: both functions are centered around zero and do not appear to have an increasing or decreasing trend. Since both times series are a linear combination of white noise, it makes sense that the plots would be centered at zero since the mean function of white noise is zero. Both time series also appear to have some sort of periodic pattern; both plots regularly oscillate between increasing and decreasing. The characteristic that sets the two time series apart is the variability. The original time series produces values that are mostly between -6 and 6, and it appears to have relatively constant variability. In contrast, the adjusted time series appears to have a nonconstant variance; the values show a rapid nonlinear increase in variability which seems dependent on the time and the values in the series quickly reach an enormous magnitude.