Unsolved: Likes vs. Views
This graph shows that as view count increases, the number of like count increases, which demonstrates a strong positive relationship (r = 0.85).
The coefficient of determination, r2, is 0.72, which indicates that 72% of the variation in comment count may be explained by the view count. This also indicates that knowing the view count should 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 p-value is <0.0001, which confirms that there is a significant relationship between the two variables. The p-value shows the probability that the slope is zero, which indicates that there is no correlation between the two variables. In this case, the low p-value indicates that the probability that the two variables are not related are highly unlikely.
Altogether, these results demonstrate that there is a significant correlation between number of likes and views for the BuzzFeed show, Unsolved.
