00:01
Right, so we're kind of price to earnings ratios, and we have someone who made some equations, linear regression, the models, i should say, for price to earnings based on future growth and dividends.
00:14
And based on the future growth, we want to interpret 3 and 9, or it's actually 0 .9.
00:22
Let's fix that.
00:23
0 .9.
00:25
So the way we interpret this, it's our good friend, it's our good linear equation, y equals, and that.
00:33
Plus b but statistics we usually write it as a plus b x if it's a linear equation you might even see it as beta not plus beta 1x something like that either way it's the same thing your slope is is the coefficient on the x and the constant is your intercept so it's just kind of picture of that so here's a graph intercept will be here whatever that number is zero comma in this case three and this is interpreting that three here.
01:10
This is the, when there's no future growth, no units of future growth, the price for earnings ratio is three.
01:15
That's how we interpret that.
01:17
And the point nine, let's graph something here.
01:21
So here's a general line.
01:25
You go here and make this big.
01:29
So here's delta x, delta y.
01:33
Because slope is, that's what slope is.
01:36
Change in y, no, change in x.
01:42
So when delta x is 1, delta y is whatever this number is.
01:47
In this case, it's 0 .9.
01:48
And so what it means is for every one unit increase of future growth, the price or earnings ratio will go up by 0 .9.
01:58
All right, so is that.
02:05
So there are our interpretations.
02:07
And now we're given that a particular company has a value of 15 on the measures of future growth.
02:12
So let's make a prediction of that.
02:14
Price to earnings is 3 plus 0 .9 times 15, which equals 16 .5.
02:26
And then, but we're told that its ratio, is the actual ratio is it's 4 .5.
02:32
So we use the standard error and see how far away we are from the mean.
02:40
So the actual is 4 .5, minus the expected value, which is 16 .5.
02:47
Divided by the standard error with five.
02:50
This gives us negative 2 .38...