00:01
So the question here revolves around a regression line, where the regression line here essentially asks us, or basically tells us more or less, the strength of a relationship between two particular variables here.
00:15
So in this particular case, we're talking about the gestation period and the life expenditures for 18 species of animals here.
00:23
So for part a here, it asks us to interpret what this r squared, coefficient, or rather our coefficient rather, of 0 .54 means here.
00:38
Essentially, it basically states, first of all, in this first part, that this indicates that there isn't a very strong relationship.
00:46
So it asks us, do we think if the association would be stronger, weaker if humans were removed here? so just based on the graph that we're given here, as the humans are an outlier point here, our association would be stronger given that we remove it as our lines and dots in this particular case would conform to a more linear relationship.
01:12
For b here, it asks us if there is a reasonable justification for removing humans and there is one as it essentially will cause something, a phenomenon rather known as an outlier whereby it doesn't really fit the associations found in this particular graph.
01:29
For part c here, it wants us to comment on the strength of the association, where we're given that the r squared value here is 72 .2%.
01:39
So the 72 .2%, first of all, indicates that we do have a pretty strong linear relationship, whereby this is also corresponded with the fact that our r value is 0 .8497...