That sounds about right. It's within the right range at least.

I hope you didn't pay too much.

But I can't give you any exact figures.

And so that's gradient descent, and we've just run it and gotten a good fit to my data set of housing prices.

But this is, of course, an optimistic scenario. Let's think of other scenarios.

But when you lower the Price to Earnings you are increasing the Earnings to Price.

I could actually price on specific customer segments or on features I know they need.

They want to encourage high volume purchases, and so they have stepped pricing that is oriented to create volume.

Even that banana that you buy at the grocery store.

Last point, last graph.

If you ever think about it, pricing that you negotiate yeah, we kind of have this price on paper, but that's just the starting point of the conversation.

But with Google Now, that starts to change.

So if I had one closing and modest suggestion,

And secondly, we as a species have so configured our environment that we have managed to make it adapt to us as well as we adapt to it.

It is traded.

And so the obvious question is, why did this happen?

We've been talking about the law of demand and how if we hold all else equal, a change in price, price goes up, the quantity demanded goes down and the price goes down, the quantity demanded goes up.

You failed.

We haven't had a price increase in the last five years.

Or why do they not make sense?

He adapted his plan to the new situation.

Plus big problem is timing the language to scientific advance.

Anyway, going back to Price to Earnings, we calculated the

We're going to ask if everything you're trying to steal is less than the total weight that you can carry and never going to think about heist total, which given a list of things you're going to steal returns how much all those items are worth .

Price

Another opportunity might be to take the one that is worth the most, kind of ignoring what it weighs .

It will be 100 in two years. It will go below 100.

On the left hand side, labor is is under a high cost pressure.

I love Lego Mindstorm, is which a wonderful way to experiment with these things.

One is, you could kind of flip this.

Or if we just wanted to round to the nearest penny, since we're talking about selling something, this optimal profit, this optimal profit, will happen at a selling price of 23 and 30, 23 and 33 cents.

Well in this case I paid 100 for the bank account.

Then auctions like eBay are another example of dynamic pricing.

No, what happened to us, Chris, is that power, it's priced off the margin.

Makes me wonder if I'll be remembered with any more accuracy.

For example, terrorism.

And so the first of these that I will focus on the first is the price of competing products.

That's dynamic pricing.

We are essentially saying the demand, the Price Quantity demanded relationship is held constant and we can pick a price and we'll get a certain quantity demanded.

But what was really interesting to me was to find out that the birds were adapting in a pretty unusual way.

It's not about low cost.

Failure means death.

Adaptation.

So the first one I'd like to parce is the idea of market value.

If x is any larger number than the number I'm solving for, then the sale price is going to be more than fifty and I won't be able to afford it.