00:01
Okay, so we have this graph that shows mother and daughter's height, okay? it looks something like that, except with way more points on it.
00:09
And we're told that the daughter's estimated height is equal to 29 .92 plus 0 .417 times the mother's height.
00:24
So a first asks us, which is the independent variable, and which is the b.
00:29
So remember that the independent variable is the x variable.
00:37
So that's the one that we think is having an effect on the other.
00:40
So that would be the mother's height in this case.
00:46
And the dependent variable is the y, which in this case is the daughter's height.
00:58
B says from the graph approximate the predicted height of a daughter of a mother who is 16.
01:07
Is tall.
01:08
So to do that, what you need to do is look at the graph, find 60 on the mother's height, and then go up straight up to the line and see where that hits for the daughter's height.
01:20
So when i do that on this little graph, it looks like it hits a little bit above 60, like maybe like 61.
01:29
Okay? so then that's how you could predict.
01:33
So we would say 61 inches approximately.
01:40
If you're doing it like c from the equation, then you put that value in for the mother equation for the mother variable...