Now, Esther, discuss in our Curie Lecture, we have four variables for distances.
This one is to be street best for.
All these variables are conveying the same information.
Which is the distance from the employment hub.
So let's just create an average variable of this for distances to convey the same information in a single
variable.
We're done very well.
All right.
Yeah, and then spread records will mention no one.
But even then, it is the best.
And we wanted this very much to be evidence values of this one, this will be seeing this.
All right.
This one.
It's Boomlets three.
Does this fall and when we do, I.
Before we get the opportunity for doing this.
No.
Let's run the duty of this.
We will be off.
Right.
Despite.
We executed this.
You can see and then you oh, what a new variable which is, let's dispense.
Now, VFP, on average spends.
We can also take a minimum of this four or maximum of this for the census to represent the same information.
But for now, we have taken on the average variable, you can try those variations on your own.
So maybe people in the city looks for the nearest implements and that instead of the average distance
of the employment center.
So depending on your business and depending on your business knowledge, try to evaluate all such variations
and choose the appropriate dummy variable.
Or no, we are on the losing average of this focus.
We will be using this evidence since midday, but.
And we will be moving this forward with EBOs because average distance is, in a sense, representing
all of this photo with Abels.
So let's build this forward where he once distance one distance would be sense to me.
And this is for Billy.
The command is dealt with right then and we'll mention.
We'll call them names or be a square record.
That's right.
That's all that's done this not that's done that you do this again.
Get whether we are going to go to Liberty Bell or not began to dispense.
One is not here.
We have been treated so well in the nation's history this fall as well.
That's done the video game.
You can see a little distance with a bottle of and be on the bridge, dispense our data.
Now, if you remember, we had four observations from our unity.
And one of them was still believed the bus terminal variable since it was undertaking one single value.
And it was not providing any useful information or mobile.
Let's be equitable, Esman.
Let's look at the first five goals of our data.
You can see, but Steadman is not a part of or does it?