Jonas runs a channel where he uploads and shares videos that he makes. He noticed an exponential relationship between how long his videos have been posted and the number of times each video has been viewed. Jonas took the natural logarithm for the numbers of views only, and he noticed a linear relationship between the how long his videos have been posted and the transformed numbers of views.
Here's the least-squares regression equation for the transformed data, where "time" represents days since posting, and "views" is the number of views.
\widehat{\ln(\text{views})}=0.77(\t ext{time})+2.90
ln(views)
​
=0.77(time)+2.90
According to this model, what is the predicted number of views on a video that's been posted for 222 days?