Unsolved: Likes vs. Comments
This graph shows that as comment count increases, the number of like count increases, which demonstrates a positive relationship (r = 0.91).
The coefficient of determination, r2, is 0.83, indicating that 83% of the variation in comment count may be explained by view count. This also indicates that knowing the comment count may allow for an accurate estimate of like count.
To view the fit of the regression model to the data, the best-fitted line, "fitted line", has been plotted in red.
The low p-value of <0.0001 demonstrates a significant relationship between comment and like count. The p-value shows the probability that the slope is zero, which indicates that there is no correlation between the two variables. Thus, the low p-value indicates that the probability that the two variables are not related are very slim.
Collectively, these results demonstrate that there is a significant correlation between number of likes and comments for the BuzzFeed show, Unsolved.
